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Artificial Intelligence/Machine Learning Oversight Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence/Machine Learning Oversight Specialist on a contract basis in Austin, Texas (Hybrid or Fully remote). Requires 2+ years in Python backend services, data pipeline validation, and regression testing. Preferred skills include PostgreSQL optimization and cross-team code review.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#Batch #Data Quality #Data Integrity #"ETL (Extract #Transform #Load)" #Regression #Data Pipeline #AI (Artificial Intelligence) #Datasets #REST (Representational State Transfer) #REST API #PostgreSQL #API (Application Programming Interface) #ML (Machine Learning) #Python
Role description
Artificial Intelligence/Machine Learning Oversight Specialist
Austin, Texas (Hybrid or Fully remote)
Contract
Minimum:
2+ Years - Production software engineering including:
• Python backend services
• async pipeline architecture
• gRPC/REST API development
2+ Years - Demonstrated ability to build, ship, and maintain systems at scale with measurable performance outcomes
2+ Years - Regression testing framework design and execution
2+ Years - Experience building automated test infrastructure that provides coverage across complex multi-system workflows, including systems not accessible via standard DOM or API selectors
2+ Years - High-volume data pipeline validation including batched ingestion, bulk-load integrity verification, record count reconciliation, and exception identification across large structured datasets
1+ Years - Clear technical communication of system behavior, and quality findings to cross-functional teams including engineers, product managers, and non-technical stakeholders in a structured delivery environment
Preferred:
2+ Years - PostgreSQL query optimization, bulk-load performance tuning, and data integrity validation at scale; experience identifying and resolving data quality issues across high-volume ingestion and transformation pipelines
1+ Year - Cross-team code review discipline with demonstrated ability to catch API contract issues, performance regressions, and data integrity risks before production; experience reviewing both backend and frontend pull requests across multi-engineer teams
1+ Year - Experience in a production engineering environment requiring end-to-end ownership of quality outcomes across multiple product teams or customer-facing services; comfort operating across ambiguous, fast-moving technical environments with high accountability
Artificial Intelligence/Machine Learning Oversight Specialist
Austin, Texas (Hybrid or Fully remote)
Contract
Minimum:
2+ Years - Production software engineering including:
• Python backend services
• async pipeline architecture
• gRPC/REST API development
2+ Years - Demonstrated ability to build, ship, and maintain systems at scale with measurable performance outcomes
2+ Years - Regression testing framework design and execution
2+ Years - Experience building automated test infrastructure that provides coverage across complex multi-system workflows, including systems not accessible via standard DOM or API selectors
2+ Years - High-volume data pipeline validation including batched ingestion, bulk-load integrity verification, record count reconciliation, and exception identification across large structured datasets
1+ Years - Clear technical communication of system behavior, and quality findings to cross-functional teams including engineers, product managers, and non-technical stakeholders in a structured delivery environment
Preferred:
2+ Years - PostgreSQL query optimization, bulk-load performance tuning, and data integrity validation at scale; experience identifying and resolving data quality issues across high-volume ingestion and transformation pipelines
1+ Year - Cross-team code review discipline with demonstrated ability to catch API contract issues, performance regressions, and data integrity risks before production; experience reviewing both backend and frontend pull requests across multi-engineer teams
1+ Year - Experience in a production engineering environment requiring end-to-end ownership of quality outcomes across multiple product teams or customer-facing services; comfort operating across ambiguous, fast-moving technical environments with high accountability
