Turing
LLM data annotation, code data annotation, AI research
Quick facts
- Company
- Turing
- Service type
- Data annotation / AI training data
- Specialties
- Translation, Image, Text, Software Eng. (code / dev tasks), Legal, Healthcare, Finance, Agriculture, Maths, STEM
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- turing.com
- Careers
- https://developers.turing.com/signup
- Profile last verified
- 2026-01-29
Application process overview
Turing.com is a US-based AI services and talent platform that matches vetted software engineers and domain experts with remote roles, and increasingly runs large-scale LLM training programs (coding, reasoning, and AGI data) for frontier AI labs. It is not a traditional crowd annotation site but a high-skill contractor marketplace.
Key findings
Application Process: Apply at turing.com/jobs, create a profile, and go through Turing's multi-stage vetting (resume, coding tests, technical interview) before being matched to AI training or engineering engagements.<br><br>Assessments: Rigorous coding challenges, system design, and domain interviews; AGI/LLM projects add subject-matter screens in math, science, or coding.<br><br>Job Types / Expertise: Full-stack/backend/ML engineering contracts, plus RLHF, code generation, and expert reasoning data creation for foundation model training.<br><br>Compensation: Engineering contracts commonly USD 30-100+/hour depending on stack and seniority; LLM trainer roles often advertised around USD 30-50/hour with higher rates for PhD-level specialists.<br><br>Flexibility: Fully remote, global; most engineering roles require substantial overlap with US hours, while training projects can be more asynchronous.<br><br>Challenges / Concerns: Vetting is long and competitive, project duration can be unstable, and some contributors report inconsistent work volume and communication.<br><br>Legitimacy: Well-established company, VC-backed, widely covered in tech press, with verifiable enterprise clients.
Conclusion
Turing is a credible, high-end platform best suited to experienced software engineers and subject-matter experts rather than general annotators. Its AGI/LLM training programs pay meaningfully better than typical crowd labeling work but demand strong technical skills and a tough vetting process. Work volume and continuity can be uneven, so it is often best treated as one stream of income among several. Overall it is a legitimate and financially attractive option for qualified candidates.