Role Description We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language (Indonesian). This is a long-term, remote gig. No prior experience is required. On the job training will be provided. What You Will Do - Review content in your native language (e.g., newspaper articles, website screenshots, advertisements) - Draw bounding boxes around specific elements as instructed (e.g., highlight the commercial aspect of an article) - Answer structured questions about the content - Write short summaries when required - Follow clear annotation guidelines to ensure quality and consistency Qualifications - Native or highly fluent speakers of the target language - Students, freelancers, part-time workers, or anyone seeking flexible short-term work - People comfortable following written instructions on a computer Requirements - Strong reading comprehension in your language - Basic computer skills (no technical background needed) - Attention to detail - Ability to follow structured instructions Role Details - Duration: Minimum 6 months (Long-term Project) - Pay Rate: $2.45 USD / hour - Hours: 30–40 hours/week - Location: Fully remote - Work: Not voice-based — text and image annotation only - No Interview, only assessment: 15–20 minute language skills assessment Process - Please fill out this job application form - Sign up at https://data-labeling.careerflow.ai - Take the Indonesian Language Assessment: https://data-labeling.careerflow.ai/assessments/2aa0b21a-0c4d-4830-9e6e-dd88de7d3b10 - You will be contracted by Careerflow on behalf of one of our clients.

• Architect and contribute directly to core platform components, including ingestion pipelines, transformation frameworks, data models, and orchestration • Define and evolve the multi-quarter technical roadmap for the data platform, balancing new capabilities, reliability investments, and technical debt reduction in alignment with the broader platform architecture • Drive evaluation and adoption of tooling across the stack, ensuring choices are well-reasoned and aligned with where the platform needs to go • Lead architecture reviews and design discussions, ensuring decisions are well-reasoned, documented, and understood by the team • Cut through ambiguity by asking the right questions early about data quality, schema evolution, and downstream dependencies, and identify risks before they become crises • Translate complex data infrastructure decisions for non-technical stakeholders without oversimplifying, and break vague product requirements into clear engineering tasks and acceptance criteria • Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity • Run a lightweight but effective backlog and planning process, keeping the team focused and unblocked • Mentor and grow engineers with an emphasis on raising technical depth — delegate meaningful work, pair on hard problems, and create opportunities for others to stretch • Set code review standards, testing philosophy, and engineering best practices that make the whole team better, including data validation, pipeline testing, and schema management • Ensure data systems work reliably in production — instrumented, observable, and operable, with clear SLAs on freshness, completeness, and accuracy

Sr. Data Engineering Consultant - Remote Primary location: - Hybrid - Minneapolis or Washington, D.C. area - US Remote Overtime status: Exempt Travel: No Job Description: At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design, build, and maintain scalable data pipelines and platforms using advanced programming languages, and cloud data warehouses (e.g., Redshift, Snowflake) - Develop resilient data architectures across data warehouses, lakes, and streaming environments to support enterprise analytics and reporting - Ensure enterprise data security, governance, quality, and standardization across all data and analytics solutions - Lead the end to end delivery of analytics data products, from design and development through production support and optimization - Collaborate with business stakeholders and engineering partners to enable business intelligence, advanced analytics, and machine learning solutions - Mentor and guide a team of data engineers, driving best practices, technical excellence, and continuous improvement You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's or Master's in Computer Science, Engineering, or a related field - 8+ years of relevant experience - Languages: Solid expertise in Python and/or Scala/Java - SQL & Data Modeling: Advanced SQL skills for data manipulation and performance tuning - Big Data/Distributed Systems: Experience with Apache Spark, Databricks, Snowflake or Kafka - Cloud Platforms: Exhaustive experience of working with Azure cloud services - Data Pipelines: Designing, building, and optimizing ETL/ELT pipelines - Data Architecture: Experience with data modeling, warehousing (e.g., Snowflake), and ETL/ELT best practices - Tools & DevOps: Familiarity with orchestration tools (Airflow), CI/CD, Git, and Linux - Soft Skills & Leadership: Solid communication, collaboration, and the ability to mentor junior engineers - All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

• Design and develop scalable data pipeline architectures for batch and real-time processing • Build and maintain API-based ingestion frameworks and event-driven data streams • Develop robust Python-based data processing workflows • Integrate data from multiple sources • Implement and optimize data models and transformations for downstream consumption • Contribute to building AI-ready data infrastructure, including: Embedding pipelines, Vector database integrations • Collaborate with analytics, BI, and AI teams to enable data accessibility and reuse • Ensure data quality, monitoring, and reliability across pipelines • Follow best practices for performance, scalability, and governance