Remote Software Engineer - Python/Typescript
TuringAbout the role
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.
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:
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:
Compensation: Market rate. Please share a specific rate expectation (rather than a range) so we can quickly assess mutual fit
Availability: 40 hours/week preferred, with a minimum 6-hour overlap with Pacific Time. If you're unable to commit to 40 hours, please share your available hours and overlap window
Employment Type: Independent contractor (does not include medical or paid leave benefits
Duration: 3 months, with an expected start date as soon as possible
Evaluation Process (approximately 30 mins):
One round of interview (30 mins of technical & cultural discussion)
Responsibilities
- Design, refine, and iterate on rubrics and evaluation criteria for preference data
- Review and label data with a high bar for quality
- 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
Qualifications
- Proficiency in Python or Typescript
- Hands-on experience with preference data collection and/or rubric creation
- Strong written and verbal communication skills
- Demonstrated high-taste judgment
Benefits
- Work in a fully remote environment
- Opportunity to work on cutting-edge AI projects
Skills mentioned
About Turing
Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Turing’s talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Turing—based in San Francisco, California—was named #1 on The Information’s annual list of “Top 50 Most Promising B2B Companies,” and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.