Senior SWE - Python / TypeScript (Freelancer / Partimer should work)

Senior SWE - Python / TypeScript - USA Role Senior SWE - Python / TypeScript (Freelancer / Partimer should work) Type of Role Contract Geo USA (Approved, Alabama, Arizona, Colorado, Florida, Idaho, Iowa, Kentucky, Michigan, Minnesota, Mississippi, Missouri, Montana, New York, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, Wisconsin, Wyoming) Total Number of Positions 5 Engagement Type Short Term Contract (3 month) Start Date Immediate Vetting One round of interview (30 mins of technical & cultural discussion) Rate $56/Hr on W2 Skill • Proficiency(5+ yrs) in Python (especially building/maintaining pipelines and infra) or Typescript (experience contributing to or navigating large codebases like VSCode a plus) • Hands-on experience with preference data collection and/or rubric creation Availability Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Note A LinkedIn profile profile is mandatory for review. Please ensure the resume has the link. Need talents from top Tier 1 companies and tier 1 universities. The talent should not be working with Microsoft currently About Turing Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.

: We're looking for a high-taste engineer with a strong eye for quality - someone who's worked hands-on with preference data and rubric creation, and knows what separates a good example from a great one. You communicate clearly and can synthesize complex technical work the way a strong MAI dev would: concise, structured, and easy for others to act on. You're comfortable in ambiguous, fast-moving environments and default to shipping over deliberating. What does day-to-day look like: • Design, refine, and iterate on rubrics and evaluation criteria for preference data • Review and label data with a high bar for quality, catching subtle issues others might miss • Build and maintain pipelines/infra that support data generation, collection, and evaluation workflows • Synthesize findings from data work into clear write-ups, updates, or recommendations for the team • Collaborate closely with researchers/engineers to translate qualitative judgment into scalable processes