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 acc elerate model development through high-quality training data, evaluations, and engineering talent.
About the Role:
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
Required Skills:
5+ yrs of proficiency 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
Strong written and verbal communication able to distill technical work into clear, actionable summaries
Demonstrated high-taste judgment able to articulate why something is good, not just that it is
Perks of Freelancing With Turing:
Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading LLM companies.
Engagement Details:
Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
Employment type : Contractor assignment (no medical/paid leave)
Duration of contract : 3 month; [expected start date is next week]
Location : North America
Evaluation Process (approximately 30 mins) :
One round of interview (30 mins of technical & cultural discussion)
Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.
| Location | NULL, AK (Remote) |
| Salary | $50–$56 |
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