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<p>Data entry clerk needed at Shaab Roasters</p><p>Working hours are 9 hours with a break hour</p><p>Friday off</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Optimiza is a regional systems integrator and digital transformation consultancy delivering consulting, business, and technology solutions across multiple industries.<br> Our work helps organizations strengthen how they manage data, risk, and operational change in complex environments where governance and accountability matter.<br> As a Senior Data Governance Analyst, you will play a key role in advancing enterprise data governance practices that support regulatory expectations, improve data quality, and enable better business decision-making.<br> This role is suited to someone who can work across business and control functions, bring structure to complex data challenges, and help build sustainable governance processes that scale across the organization.<br> Responsibilities Develop, implement, and maintain data governance policies, standards, and procedures aligned with regulatory requirements including BCBS 239, GDPR, CCPA, SOX, GLBA, and FFIEC.<br> Lead and support data classification efforts, ensuring appropriate handling of PII, MNPI, and other sensitive or regulated data categories.<br> Maintain and enhance the enterprise data catalog, business glossary, and data lineage documentation to support regulatory reporting and risk management.<br> Partner with data owners and data stewards across business lines to define data quality rules, monitor metrics, and drive remediation of data quality issues.<br> Support Critical Data Element (CDE) identification and monitor controls around CDEs used in regulatory and financial reporting.<br> Conduct data governance maturity assessments and gap analyses, and recommend and track remediation plans.<br> Collaborate with Compliance, Risk, Legal, and Internal Audit teams to support regulatory exams, audits, and data-related risk assessments.<br> Design and monitor access control and data entitlement processes in partnership with Information Security.<br> Facilitate data governance council and working group meetings, and prepare governance reporting and metrics for senior management and committees.<br> Support metadata management initiatives and ensure consistent, enterprise-wide data definitions.<br> Track issues through the data issue management lifecycle, including root cause analysis and escalation of unresolved risks.<br> Contribute to training and awareness programs to embed a data governance culture across the organization.<br> Class A Health Insurance Required Qualifications Bachelor's degree in Data Management, Information Systems, Finance, Business, or a related field.<br> 5+ years of experience in data governance, data management, or data quality, including 2+ years in financial services or another regulated industry.<br> Working knowledge of financial services data regulations and frameworks, including BCBS 239, GDPR, CCPA, SOX, GLBA, and FFIEC guidelines.<br> Hands-on experience with data governance or data catalog platforms such as Collibra, Informatica Axon/EDC, Alation, or similar tools.<br> Experience with data quality frameworks, metadata management, and data lineage concepts.<br> Experience with data classification and sensitive data handling, including PII, MNPI, and confidential data.<br> Experience working across business, risk, compliance, and technology teams, with confidence presenting to senior stakeholders.<br> Eligibility to work in Jordan.<br> Preferred Qualifications Master's degree in Data Management, Information Systems, Finance, Business, or a related field.<br> Proficiency in SQL, with familiarity with data modeling concepts.<br> Experience supporting regulatory exams or audits such as OCC, Fed, FDIC, or equivalent regional regulators.<br> Familiarity with data privacy regulations and privacy-by-design principles.<br> Understanding of the governance implications of cloud data platforms such as Snowflake, AWS, or Azure.<br> CDMP, DGSP, or a similar data governance certification.<br> Please be prepared to share your notice period or earliest available start date.<br></span> </div>

<p>As a GTM Data Engineer at Aspire, you will build the data infrastructure and intelligence layer that powers Indeed's Go-To-Market revenue engine u2014 including lead routing, advertiser identity resolution, campaign segmentation, and Sales tooling across Salesforce, Snowflake, and GCP. You will build and maintain data pipelines, model GTM data assets, and collaborate with engineers and product managers to deliver on project deliverables. This role requires a strong focus on data quality, validation, and schema management across GTM data marts. This position is open to candidates in LATAM with core working hours of 9 a.m. u2013 5 p.m. CT (US Central time).</p><p>What You'll Do</p><ul><li>Build and maintain data pipelines across Snowflake, Salesforce Data Cloud, and GCP.</li><li>Model and maintain GTM data assets, including parent company, advertiser identity, lead enrichment, and revenue data.</li><li>Collaborate with engineers and Product Managers on GTMDR JIRA project deliverables.</li><li>Write and optimize SQL/IQL queries for reporting and analytics use cases.</li><li>Support data quality, validation, and schema management across GTM data marts.</li></ul><p>What You'll Need</p><ul><li>Strong SQL and Snowflake experience (required).</li><li>Strong Python scripting skills for data transformation.</li><li>Experience building ETL/ELT pipelines using dbt, Airflow, or similar orchestration tools.</li><li>Experience with GCP or AWS cloud data platforms.</li><li>Familiarity with CRM data (leads, contacts, accounts, opportunities).</li><li>Ability to work during US Central time (CDT/CST) core hours (9 a.m. u2013 5 p.m. CT).</li><li>Experience with Salesforce SOQL.</li><li>Experience with ZoomInfo or D&amp;B data enrichment.</li><li>Experience with GTM or revenue analytics.</li><li>Experience with Salesforce Data Cloud or Salesforce data models (preferred).</li></ul><p>Why Aspire</p><p>In addition to a competitive long-term total compensation package with salary and performance-based bonus, we have a reward philosophy that goes beyond compensation. Be part of a remote-first organization where flexibility is embraced. Work and learn alongside talented engineers and technology leaders. Explore opportunities to learn and grow through technical and non-technical training programs. Gain global exposure by working on products with international teams and clients. Attend virtual and in-person international technology conferences to expand your knowledge and network.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong SQL and Snowflake experience (required).</li><li>Strong Python scripting skills for data transformation.</li><li>Experience building ETL/ELT pipelines using dbt, Airflow, or similar orchestration tools.</li><li>Experience with GCP or AWS cloud data platforms.</li><li>Familiarity with CRM data (leads, contacts, accounts, opportunities).</li><li>Ability to work during US Central time (CDT/CST) core hours (9 a.m. u2013 5 p.m. CT).</li><li>Experience with Salesforce SOQL.</li><li>Experience with ZoomInfo or D&amp;B data enrichment.</li><li>Experience with GTM or revenue analytics.</li><li>Experience with Salesforce Data Cloud or Salesforce data models (preferred).</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a passionate and skilled Backend Engineer specializing in Data Modelling to join our dynamic team in Amman, Jordan. This role is pivotal in shaping the data architecture that fuels our innovative solutions. As a Backend Engineer, you will be responsible for designing and implementing robust data models that ensure efficient data storage, retrieval, and processing. Your contributions will directly impact our capacity to deliver high-quality services to our clients, making this an exciting opportunity to advance your career in a fast-paced environment.</p><p>At our company, we believe in fostering a culture of continuous learning and professional growth. As you immerse yourself in our collaborative environment, you will have access to various training programs and mentorship opportunities that will enhance your technical skills and broaden your understanding of data engineering practices. We value innovation and encourage our team members to share their ideas, driving not only personal growth but also the overall success of the organization.</p><p>Joining our team means becoming part of a forward-thinking company that prioritizes both individual and collective success. As you contribute to critical projects, you will have the chance to work alongside talented professionals who are equally passionate about technology and data. We are committed to providing a supportive work environment that empowers you to take on new challenges and advance your career trajectory while making a meaningful impact in the tech landscape.</p><p><b>Responsibilities:</b></p><ol><li>Design and develop data models that support application requirements, ensuring data integrity and optimal performance through the use of industry-standard tools and methodologies.</li><li>Collaborate with cross-functional teams to gather data requirements and translate them into effective database structures, enhancing the overall data architecture.</li><li>Implement data migration strategies that facilitate seamless transitions from legacy systems to modern databases, minimizing downtime and ensuring data consistency.</li><li>Conduct performance tuning and optimization of existing database queries, utilizing profiling tools to identify bottlenecks and improve response times.</li><li>Develop comprehensive documentation for data models and processes to ensure clarity and consistency for current and future team members.</li><li>Monitor and maintain database security protocols, implementing best practices to safeguard sensitive information and comply with industry regulations.</li><li>Participate in code reviews and provide constructive feedback to peers, fostering a culture of collaboration and continuous improvement within the engineering team.</li><li>Stay updated with the latest trends and technologies in data engineering, actively seeking opportunities to integrate new tools and methodologies into our processes.</li><li>Assist in troubleshooting and resolving database-related issues, leveraging your expertise to ensure minimal disruption to business operations.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in SQL and NoSQL databases, enabling efficient data storage and retrieval tailored to specific application needs.</li><li>Strong understanding of data modeling techniques, ensuring effective representation of data relationships and structures.</li><li>Experience with data warehousing solutions, facilitating the integration and analysis of large datasets.</li><li>Familiarity with ETL processes, enabling seamless data extraction, transformation, and loading for analytics.</li><li>Knowledge of cloud-based database services, enhancing scalability and accessibility of data solutions.</li><li>Ability to implement database security measures, ensuring compliance with data protection regulations.</li><li>Excellent problem-solving skills, allowing for quick and effective resolution of database performance issues.</li></ul></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Who are we?<br> We are a team of driven individuals who strongly believe in the positive impact gaming and AI will have on the learning world.<br> Today, we’re helping enterprise businesses transition from video to gamified learning experiences that far outperform their traditional counterparts.<br> If you strive to work in a creative and high-output environment, read on.<br> Who are we looking for?<br> A senior data engineer to own Pixaera's data end to end: the pipelines that bring data in, the warehouse and transformations that shape it, and the customer-facing dashboards and insights we build on top.<br> Our customers judge the value of their training by what they can see, so this role owns that surface directly.<br> Today the stack is Fivetran into Snowflake, transformed with dbt and surfaced through Omni.<br> You will take real ownership of it, fix what is brittle, and turn it into a genuine product surface rather than a side project.<br> You are happy working across the backend to solve data problems at their source, and you can explain a trade-off to a customer success lead as clearly as to an engineer.<br> What you will own Customer-facing dashboards and reporting: the activity, completion and performance views customers rely on, built on the current data model (courses and completions, not legacy sessions) and kept correct as new content ships.<br> The data platform end to end: ingestion (Fivetran), the warehouse and data lake (Snowflake) and the transformation layer (dbt), including the modelling that harmonises sources and versions data properly.<br> Turning raw learning and assessment data into insights that customers and internal teams can act on, and moving us toward live and near-real-time reporting.<br> Reliability and cost: monitored, well-behaved pipelines, sensible incremental versus full-refresh models, and a real handle on data spend.<br> Data products beyond dashboards: APIs, reports and exports, and the content mappings that keep reporting accurate, owned inside the publish pipeline rather than as manual handoffs.<br> The data layer in product design: partnering with backend and frontend engineers so new features integrate with data cleanly from the start, and raising the bar for data practice across engineering.<br> How do we support and benefit our employees: Competitive salary and stock options — everyone shares in what we're building 25 days holiday + public holidays Fully equipped setup from day one (no waiting for laptops) Regular company offsites and team socials A flat, transparent culture with direct access to leadership At Pixaera, we're committed to building a workplace where everyone feels respected, supported, and empowered to thrive.<br> We believe that diverse perspectives fuel creativity and innovation, which is why we celebrate individuality and foster an environment of inclusion and belonging.<br> We're proud to be an equal opportunity employer — discrimination of any kind has no place here.<br> No matter your background, identity, or lived experience, you're welcome at Pixaera.<br> Skills / Experiences Core Significant professional experience as a Data Engineer , senior enough to own a platform and its customer-facing outputs on your own.<br> Proven ability to independently master new concepts and technologies.<br> Strong skills in analysing business processes and modelling data for reporting.<br> Proven ability to communicate complex technical concepts and trade-offs to non-technical audiences.<br> Excellent written and spoken English.<br> Self-motivated, independent and proactive; able to thrive in a fully remote environment.<br> AI-native: fluent with agentic coding tools such as Claude Code on real deliverables, and keen to build AI and agentic steps into data pipelines and tooling.<br> Data tech Strong proficiency in writing Python and SQL.<br> Strong grounding in data structures, algorithms, and system design.<br> Proficiency with data warehousing tools like Snowflake and data transformation tools like dbt.<br> Comfortable modelling and delivering customer-facing dashboards in a BI tool such as Omni , Looker, Metabase or similar.<br> General tech Solid software engineering practices: testing, code review, CI/CD.<br> Experience deploying data solutions to production environments .<br> Experience with performance optimization and cost control in data pipelines.<br> Experience with one or more public clouds (like AWS, Google Cloud, Azure).<br> Nice to Have Experience with Omni specifically, or migrating between BI tools.<br> Backend fluency (Golang, NodeJS, Postgres) to fix data issues at their source.<br> Setting up and prototyping solutions using AWS; Kubernetes.<br> Experience working at or with education and/or assessment solutions.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the Role <br> <p><span>We are looking for a fresh graduate to join the Data Analytics &amp; AI Department for a&nbsp;</span><b><span>one-year internship</span></b><span>&nbsp;contract under Zain Youth Program.</span></p><br><p><strong><span>Job tasks and responsibilities:</span></strong></p><br><ol><li><p><span>Support the development, deployment, and monitoring of data pipelines across Cloudera, Apache NiFi, Kafka, Spark, and related platforms.</span></p><br></li><li><p><span>Assist with troubleshooting data-platform issues by analyzing application logs, system metrics, SQL queries, and data-flow dependencies.</span></p><br></li><li><p><span>Develop scripts and utilities using Python, SQL, and Linux shell scripting to automate operational and data-processing tasks.</span></p><br></li><li><p><span>Support data validation, performance optimization, documentation, and controlled deployment of changes across development and production environments.</span></p><br></li><li><p><span>Work with infrastructure, database, security, and business teams to investigate incidents and deliver reliable data solutions.</span></p><br></li></ol> <br> <br><br> What We Need From You <br> <p><span>Bachelor's degree in computer science</span><span>, Data Science, Software Engineering, Computer Engineering, or a related technical field.</span></p><br><p><strong><span>Technical skills:</span></strong></p><br><ol><li><p><span>Good foundation in SQL, relational databases, and data-processing concepts.</span></p><br></li><li><p><span>Working knowledge of Python and Linux command-line environments; shell scripting is an advantage.</span></p><br></li><li><p><span>Basic understanding of data engineering technologies such as Spark, Hadoop, Kafka, NiFi, Airflow, or similar tools.</span></p><br></li><li><p><span>Familiarity with APIs, Git, containerization, Kubernetes, or CI/CD concepts is preferred.</span></p><br></li><li><p><span>Basic understanding of networking, authentication, logging, and systematic application troubleshooting.</span></p><br></li></ol><p><strong><span>Soft skills:</span></strong></p><br><ol><li><p><span>Strong analytical thinking and a structured approach to problem-solving.</span></p><br></li><li><p><span>Curiosity and willingness to independently investigate unfamiliar technologies.</span></p><br></li><li><p><span>Clear communication and the ability to document technical findings accurately.</span></p><br></li><li><p><span>Ownership, reliability, and willingness to follow issues through to resolution.</span></p><br></li><li><p><span>Ability to accept feedback, adapt quickly, and collaborate across different technical teams.</span></p><br></li></ol> <br> <br> </div>

<p>At SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry. You'll find us in 95% of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don't just move the world forward-we're proud to be recognized as a Great Place to Work by 79% of our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow. Are you ready to love your job? The adventure begins right here, with you, at SITA.</p><p><strong>Desired Candidate Profile</strong></p><h2>Experience</h2><ul><li>1 2 years of experience in data analysis, data quality, quality assurance, service improvement, IT service management, knowledge management.</li><li>Experience developing reports, dashboards, and management insights using Power BI, Excel, or similar tools.</li><li>Practical knowledge of ITIL practices and ITSM processes.</li></ul><h2>Education and Qualifications</h2><ul><li>University degree or diploma in Data Science, Data Analytics, Computer Science, Information Technology, Engineering, Business Analytics, Statistics, or a related discipline.</li><li>Certification or training in Microsoft Power BI, Excel, Python, R, SQL, data analytics, or data visualisation is an advantage.</li><li>ITIL certification Lean Six Sigma, Quality Management, or Service Management certification is an advantage.</li></ul><h2>Knowledge and Technical Skills</h2><ul><li>Proficiency in Excel and Power BI for data analysis, reporting, and dashboard development.</li><li>Working knowledge of Python and R for data cleaning, analysis, visualisation, and automation.</li><li>Basic knowledge of HTML and Microsoft 365 tools, including SharePoint and Teams.</li><li>Understanding of data analysis, data quality, statistical methods, and trend identification.</li><li>Ability to identify inaccurate, incomplete, duplicated, or inconsistent data.</li><li>Understanding of ITIL practices, ITSM operations, and continuous service improvement.</li><li>Knowledge of AI, automation, networks, and application support is an advantage.</li></ul><h2>Functional Skills</h2><ul><li>Reporting and data analysis</li><li>Data quality and assurance</li><li>Audit and compliance management</li><li>KPI and performance measurement</li><li>Process and service improvement</li><li>Root-cause and trend analysis</li><li>Problem-solving and critical thinking</li><li>Project and action management</li><li>Stakeholder management</li><li>Communication and presentation</li><li>Teamwork, adaptability, and attention to detail</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Key Responsibilities:<br>o Gathers and analyzes reporting requirements from key HR stakeholders to design impactful dashboards<br>and KPIs.<br>o Develop interactive and professional dashboards using Power BI, aligned with business needs.<br>o Translates complex HR data into clear insights that support HR team in effective decision-making.<br>o Builds reporting dashboards in areas such as Learning and development, Talent acquisition, Performance<br>management, and Compensation &amp; benefits.<br>o Collaborates with internal HR teams to understand evolving business needs and proactively adjusts<br>reporting approaches.<br>o Ensures accuracy and consistency in HR data visualizations and dashboard updates.<br>o Supports ongoing optimization of HR reporting tools and solutions.<br>o Maintains confidentiality and integrity of employee data in all reporting activities.</p><br><br><ul> <li>Proven experience in Power BI development, in HR or People Analytics.</li> <li>Proficiency in using Excel and PowerPoint tools.</li> <li>Strong analytical and storytelling skills using data.</li> <li>Experience in tracking HR metrics and using data to forecast trends</li> </ul> </div>

<p>The GIS/Data Visualization Specialist will support data management, analysis, and visualization activities across the Jordan MELA work order. This position will be responsible for transforming complex quantitative and qualitative information into clear, accurate, and user-friendly visual products, including maps, dashboards, charts, infographics, and other data products. The GIS/Data Visualization Specialist will work closely with the Knowledge Management Lead, Database Manager, and other technical staff to produce high-quality outputs that support decision-making, reporting, learning, and knowledge sharing. This is a full-time, Amman-based role with a period of performance from September 2026 September 2027.</p><h3>Essential Job Functions:</h3><p>The following duties are considered essential to the role. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions:</p><ul><li>Lead or support GIS and data visualization work across Jordan MELA activities.</li><li>Produce maps, dashboards, charts, infographics, and other visual products that communicate findings clearly and effectively.</li><li>Develop spatial analyses and GIS products to support planning, monitoring, coverage analysis, and decision-making.</li><li>Clean, organize, and prepare data for visualization and mapping purposes.</li><li>Collaborate with technical staff to translate program data into accessible visual formats for diverse audiences.</li><li>Support the design and maintenance of interactive dashboards and reporting tools.</li><li>Ensure that all visual products are accurate, well-labeled, and aligned with client and project needs.</li><li>Work with the Database Manager and Knowledge Management Lead to ensure data are properly structured and accessible for visualization.</li><li>Support routine and ad hoc reporting products, portfolio review materials, and learning products.</li><li>Assist in maintaining geospatial data standards, metadata, and documentation.</li><li>Support quality control processes for visualization and GIS products.</li><li>Contribute to the development of user-friendly products that strengthen evidence use and communication.</li><li>Respond to requests for visual products and spatial analysis in a timely and flexible manner.</li><li>Coordinate with the broader MELA team to ensure consistency in style, branding, and technical quality.</li></ul><p>Physical Requirements: Prolonged periods sitting or standing at a desk and using a computer. Work Environment / Environmental Factors: This position has no work or environmental factors outside of a standard office environment.</p><p>Additional Information This is a full-time position. The expected working day is from Sunday to Thursday, 40 hours per week. This position is required to be in the office Sunday Thursday. This arrangement is subject to review and may change at the company s discretion.</p><p>Life at Tetra Tech: The perks of working at Tetra Tech include:</p><ul><li>Comprehensive and market-competitive benefits.</li><li>Merit-based financial rewards.</li><li>Flexibility and company-wide commitment to work/life balance.</li><li>Collaborative team atmosphere that values the contributions of all employees.</li><li>Learning and development opportunities for ongoing professional growth.</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in geography, GIS, data science, statistics, information systems, international development, or a related field preferred. Minimum of 4 years of experience in GIS, data visualization, data analysis, or related technical work. Demonstrated experience developing maps, dashboards, and other data visualization products. Strong knowledge of GIS software and visualization tools such as ArcGIS, Power BI, Tableau, or similar platforms. Experience working with development, MEL, or foreign assistance data preferred. Strong analytical, organizational, and quality assurance skills. Ability to communicate technical information in clear, accessible visual formats. Experience working in Jordan and/or the MENA region strongly preferred. Excellent written and oral communication skills in English and Arabic required.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>• Continuity of essential regional data-management, analytical, monitoring and reporting functions during the bridging period. • Priority datasets and products are better documented, quality-assured, accessible and maintainable. • DCO/ROAS and supported Resident Coordinator Offices receive timely, decision-relevant analysis and visualization. • Regional analysis contributes to regional coordination structures, foresight and understanding of multi-country and cross-boundary issues. • Staff have practical tools and strengthened capacity to apply agreed data-management, analytical and responsible AI approaches. • A complete and usable handover package supports continuity beyond the consultancy.<br> Work Location<br>Amman<br> Expected duration<br>6 months<br> Duties and Responsibilities<br>Background The United Nations Development Coordination Office (DCO) manages and oversees the Resident Coordinator system under the oversight of the Chair of the United Nations Sustainable Development Group. The Regional Office for Arab States (DCO/ROAS) provides regional support to Resident Coordinators and Resident Coordinator Offices across the Arab States. DCO/ROAS seeks an individual consultant to provide support on regional data management, analysis, reporting and knowledge management. The assignment will strengthen the availability, quality, consistency and use of regional and country-level data for evidence-informed planning and decision-making. The consultancy will also connect data work with support to Resident Coordinator Offices, implementation of the Arab States Regional Platform for Integration (AS-RPI), and regional foresight analysis, including multi-country and cross-boundary issues. In line with UN 2.0, the consultant will identify practical opportunities for innovation and responsible use of artificial intelligence, subject to applicable United Nations data-protection, confidentiality, information-security and human-oversight requirements. Objectives • Strengthen data quality, documentation, accessibility, interoperability and reproducibility across priority regional datasets and products. • Provide timely regional and cross-country analysis, visualization and decision-support products for DCO/ROAS and, upon request, Resident Coordinator Offices. • Support results monitoring and reporting, including UNINFO-related quality assurance and consolidation of country-level information for regional and global requirements. • Link data and analysis to regional coordination structures, foresight, including multi-country and cross-boundary risks, opportunities and interdependencies. • Strengthen knowledge exchange and staff capacity in data management, analytics, visualization, responsible data use, innovation and AI literacy. Scope of Work • Data systems and quality: Complete the agreed review, update and documentation of priority databases, data-collection arrangements and analytical workflows[A6.1] from the RC system in the Arab states region, as inputs to Deliverables 2 and 3. This includes documenting data definitions, sources, methodologies, validation rules, update responsibilities and version-control arrangements, and completing the agreed data cleaning, validation and quality-assurance checks within the delivery periods specified below. • Analysis and visualization: Produce the dashboards, scorecards, graphs, charts, tables, maps and concise analytical products specified under Deliverable 4. Each product shall be based on agreed data sources and shall identify the relevant trends, patterns, gaps and emerging issues within the applicable monthly delivery period. • Regional and RCO support: Provide agreed, output-specific data and analytical inputs to DCO/ROAS, Resident Coordinator Offices and UN Country Teams, including for Common Country Analyses, Cooperation Framework processes and other priorities formally included in the workplanS. • Monitoring and reporting: Prepare the periodic UNINFO and results-reporting outputs specified under Deliverable 5, including agreed quality-assurance observations, consolidated country-level analysis and defined inputs to regional reviews, management reports, briefs, presentations and corporate reporting. • AS-RPI and regional foresight: Complete the analytical product specified under Deliverable 6, providing agreed data and analytical inputs for AS-RPI implementation and regional foresight, including comparative analysis of at least one multi-country or cross-boundary issue and its shared risks, interdependencies, emerging opportunities and implications for action. • Partnerships and coordination: Undertake the consultations and coordination required to complete the agreed deliverables. This may include time-bound engagement with DCO/ROAS, DCO headquarters, Resident Coordinator Offices, UN entities and relevant data partners to confirm data requirements, obtain agreed inputs and validate outputs. • Knowledge management and capacity development: Produce the repository updates, reusable templates, guidance and practical learning sessions specified under Deliverable 7. The number, format, audience and schedule of sessions shall be agreed in the inception workplan. • Innovation and responsible AI: Where included in an agreed deliverable, test practical innovations and responsible AI-assisted approaches for data discovery, analysis, visualization, knowledge management or foresight. For each such output, document the method, risks and limitations; verify the results; protect sensitive information; and maintain meaningful human oversight. • Handover and continuity: Submit the complete handover package specified under Deliverable 8, including orderly records, editable source files, documentation and a clear list of outstanding issues and continuity actions. • Additional tasks: Undertake only additional tasks agreed in writing with the supervisor, within the overall scope and maximum level of effort of the consultancy. Any such task shall be assigned to a defined deliverable, delivery date and acceptance criterion through an updated workplan.<br> Qualifications/special skills<br>A Master's degree or equivalent in data management, information management, computer science, data science, analytics, statistics, information systems, economics, public policy or a related field is required. A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of five years of progressively responsible experience in data management, data analysis, information management, statistics, business intelligence or a related area is required. Experience developing and maintaining data systems, dashboards, analytical products, data-quality processes, reporting workflows and documentation is required. Experience supporting the United Nations system, Resident Coordinator system, Cooperation Framework processes, UNINFO or comparable planning and reporting platforms is desirable. Experience with regional or cross-country analysis, strategic foresight, multi-country or cross-boundary issues is desirable. Experience applying innovation approaches, artificial intelligence or emerging technologies to data, analysis, knowledge management or organizational decision-making is desirable. Proficiency in relevant data-management, analytical and visualization tools is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; For this position, fluency in English is required and knowledge of Arabic is desirable. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary: The Database Administrator will play a crucial role in the administration of systems infrastructure within our esteemed government entity.<br> Reporting directly to the IT Systems Manager, the incumbent is expected to bring expertise in Microsoft and Oracle database administration, ensuring the seamless functioning of critical databases.<br> Key Responsibilities: Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 8+ years of experience as a Database Administrator.<br> Strong knowledge of database administration and performance tuning.<br> Experience with database backup and recovery.<br> Understanding of database security and high availability.<br> Strong analytical and troubleshooting skills.<br> Good communication and teamwork skills.<br> Bachelor’s degree in a relevant field.<br> 4+ years of experience in the Information Technology industry Strong knowledge and experience in Oracle and SQL database administration.<br> Microsoft Certified Database Administrator (DBA) and Oracle Database SQL Certified Associate certifications are preferred.<br> Proven ability to proactively monitor and optimize database performance.<br> Experience in managing, coordinating, and implementing software upgrades and patches.<br> Familiarity with change management processes and incident correlation.<br> Excellent problem-solving skills and the ability to work collaboratively within a team.<br></span> </div>

<p>About the Role As a Data Scientist at Aspire, you will be responsible for building and maintaining production machine learning solutions in a cloud environment. This role focuses on developing scalable ML models, collaborating with cross-functional teams, and supporting data-driven decision making across the organization. You will work within US time zones (PST to EST) and operate in a remote-first, distributed team environment.</p><p><b>What You'll Do</b></p><ul><li>Develop, deploy, and maintain production machine learning models.</li><li>Perform exploratory data analysis and feature engineering to extract actionable insights.</li><li>Build and improve data pipelines that support ML workflows and automation.</li><li>Collaborate with engineering and business stakeholders to deliver scalable ML solutions.</li><li>Contribute to AI/LLM-based capabilities where applicable to enhance product offerings.</li><li>Monitor and optimize model performance in production environments (not only notebook-based development).</li><li>Document all procedures, configurations, and changes in a clear, auditable manner.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>What You'll Need</p><ul><li>2+ years of experience building and maintaining production machine learning models.</li><li>Strong Python programming skills.</li><li>Experience with AWS SageMaker or another enterprise ML platform (e.g., Vertex AI or Azure ML) supporting production ML pipelines.</li><li>Experience deploying and monitoring ML models in production (not only notebook-based development).</li><li>Advanced SQL.</li><li>Git/version control.</li><li>Ability to work independently in production environments.</li><li>Experience with MLOps tools (MLflow, Airflow, dbt, or similar).</li><li>Snowflake.</li><li>Marketing, growth, experimentation, or causal inference experience.</li><li>Experience with LLMs or AI agents.</li><li>Agile development practices.</li><li>Experience building scalable ML solutions in enterprise environments.</li><li>Familiarity with cloud-based ML platforms and production deployment best practices.</li><li>Strong communication skills and ability to work with cross-functional teams.</li><li>Familiarity with US time zones (PST to EST) and remote collaboration workflows.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your resume in English and indicate your level of English.<br> At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.<br> What we do The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators.<br> Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.<br> About the Role Annotation is what helps AI make sense of the world.<br> As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.<br> Responsibilities: Carefully review provided data (text, images, or videos) Label or classify content based on project guidelines Identify and flag factually incorrect, sensitive, inappropriate, or unclear material Important note: This is project-based work.<br> Tasks are available only when projects are active .<br> You may be invited to one or more projects depending on your profile and current opportunities.<br> Each project has its own compensation level based on scope and expertise required.<br> On this project, AI trainers earn up to $17 per hour equivalent.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> Influence how future AI models understand and communicate in your field of expertise.<br> Bachelor’s degree in any discipline Minimum 1 year of experience in any professional role Advanced level of English (C1 or higher), both written and spoken Logical thinking, fact-checking and reasoning abilities Strong attention to detail and ability to understand and follow complex instructions Strong communication skills, including the ability to ask clarifying questions when needed Genuine interest in technology and artificial intelligence</span> </div>