About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Data Engineer
Type: Contract
Compensation: $70–$95/hour
Location: Remote
Role Responsibilities
- Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform, ensuring robust end-to-end functionality and meeting project release timelines.
- Design and develop data processing pipelines using SQL and Python to handle large-scale data collection, transformation, and quality monitoring workflows.
- Build and maintain dashboards and visualization tools to provide visibility into data quality, rater performance, and platform metrics for stakeholders across multiple teams.
- Create comprehensive end-to-end tests and monitoring alerts to ensure platform reliability, data integrity, and proactive identification of issues in the data collection workflow.
- Debug and troubleshoot complex data flow issues across the SPECTRA platform, identifying root causes and implementing solutions to maintain high system availability.
- Collaborate closely with Technical Leads and engineering teams to implement backend data processing logic and ensure adherence to development standards and best practices.
Qualifications
Must-Have
- Experience in SQL development writing complex queries, data transformations, and working with large datasets in production environments.
- Proficient in Python with experience in data processing, automation, and pipeline development using object-oriented programming principles.
- Experience with data engineering pipelines including ETL processes, data modeling, and building scalable data processing workflows.
- Hands-on experience with data visualization and dashboard tools such as Tableau or similar platforms for creating actionable insights from large datasets.
- Strong analytical and problem-solving skills with demonstrated ability to debug complex data issues and implement effective solutions.
- Experience with data quality monitoring and automated testing frameworks to ensure data accuracy, completeness, and reliability.
Preferred
- Degree in Computer Science or related field.
- Machine Learning experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics.
- Experience building and scaling large products or systems.
- Experience with building privacy and ads-related products is a big plus.
- Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations.
- Prior experience working with the company or its internal tools is a plus.
Compensation & Legal
- Hourly contractor , Paid weekly via Stripe Connect .
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to: Show email
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.