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Software Engineering

Annotator - STEM

Turing Bangladesh, Egypt, India, Kenya, Mexico, Nigeria, Pakistan, Turkey, Ghana

Education

Any

Type

hourly

Pay Rate (by country)

$12–$30/hr

Listed

54d ago

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Turing: our referral track record

We've referred 677 candidates to Turing roles. 2% (15) were placed.

Turing: typical time to hire

Based on 15 tracked placements across all Turing roles on our site.

32 days 59 days (median) 85 days
Within 2 weeks
13%
Within 6 weeks
40%
Within 13 weeks
80%

What We Know About This Role

Weekly hours
40 hrs/week
Timezone overlap
Partial overlap with US Pacific time required
Contract length
8 weeks

About this Role

From the Turing listing

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.

About the Role:

Annotators are the core builders of SkillsBench. You will design and write AI evaluation tasks — structured challenges given to large language model (LLM) agents running inside automated environments. Each task you create tests whether an AI agent performs significantly better when given domain-specific knowledge 

skills versus without it. Your tasks directly feed into Turing's commercial AI evaluation pipeline, used by clients. 

What You Will Do:

Write clear, unambiguous task instructions that define exactly what an AI agent must produce, where to save it, and what rules to follow Create reference solutions that demonstrate the correct approach and pass all automated checks Write human-readable verifier descriptions listing every check the automated test suite will run Author domain-specific skill files that teach an AI agent the conventions, workflows, and edge cases relevant to the task — without leaking expected answers Ensure the no-skills variant of each task is identical to the with-skills variant except for the absence of skill files Work within the task structure (instruction, environment, solution, tests) and follow Turing's task quality standards 

Required: 

Bachelor's degree or higher in a relevant technical or domain-specific field (Computer Science, Engineering, Finance, Data Science, Linguistics, etc.)  Experience: 1–3 years in a domain where you have hands-on practical expertise (software development, financial analysis, document processing, data science, etc.)  

Must Have:  

Strong written English; ability to write precise, unambiguous instructions 

Genuine hands-on expertise in at least one of the SkillsBench domains (coding, finance, document generation, audio/ML, etc.) 

Ability to think from an AI agent's perspective — what would a model get wrong without guidance? 

Comfort reading and producing structured file outputs (JSON, DOCX, XLSX, Markdown)  

Nice to Have:  

Prior experience with LLM evaluation, prompt engineering, or AI benchmark design 

Familiarity with Python scripting Experience with Docker or containerised environments 

 

Domains : 

Power Systems & Control 

Cybersecurity 

Network & System Engineering 

Offer Details:

Commitments Required:  40 hours per week with overlap 4 hours with PST Engagement type  : Contractor assignment(no medical/paid leave) Duration of contract : 2 months; [expected start date is next week] Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Requirements

  • Cyber Security
  • Must be eligible to work in one of: Bangladesh, Egypt

What to Expect

Looking at Turing Software Engineering listings we've tracked, contracts in this domain typically run about 9.8 weeks. Actual length varies by project, but this gives you a realistic baseline going in. This listing's 8-week contract is shorter than the typical 9.8-week Turing Software Engineering engagement.

Based on 50 extracted Turing Software Engineering listings.

Eligible Languages

Fluent proficiency in English

English

Why This Role

This Annotator - STEM role pays $21/hr and runs fully remote, so the barrier to entry is your Software Engineering knowledge, not prior AI experience.

Skills & Categories

Explore other opportunities in related specializations:

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Frequently Asked Questions

Do I need to be a software engineer to work for Turing?

No, not anymore. Turing built its name matching senior engineers with Silicon Valley companies, but it has since expanded into AGI infrastructure work and now hires non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English matter more than coding ability.

How does Turing's talent matching work?

Turing calls it the Intelligent Talent Cloud. You build a profile and go through vetting (automated tests, an AI-powered interview, practical skill assessments), and once vetted, Turing's algorithm surfaces your profile directly to partner companies like Fortune 500s and top AI labs. You don't browse listings or bid on work; matches come to you.

How and when does Turing pay contractors?

Monthly, in USD, via Deel, Payoneer, or direct bank transfer. You're engaged as an independent contractor responsible for your own local taxes. Plan your cash flow around a monthly cycle if you're used to weekly payouts elsewhere.

What does task-based AI training work actually look like?

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

What does asynchronous AI training work mean in practice?

No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.

What does Software Engineering work look like for a Annotator - STEM?

Tasks here are scoped to Software Engineering, not generic labeling. As a Annotator - STEM, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.

How many hours per week does this role require?

Based on the listing, this role is scoped at about 40 hours per week, over roughly a 8-week contract. Treat this as a real commitment expectation, not a loose estimate.

Do I need to be fluent in English?

Yes. This role specifically requires English proficiency. You will likely be evaluated on written fluency during the assessment, not just conversational level. If English is not your first language or you are not professionally fluent, this is not the right role. Filter for your native language to find better-matched listings.

What happens when I click Apply on this listing?

You'll be taken to Turing's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.

Can I apply from outside Bangladesh, Egypt, India and 6 other countries?

This specific role is restricted to Bangladesh, Egypt, India, Kenya, Mexico, Nigeria, Pakistan, Turkey, Ghana. If you are outside these locations, applying is unlikely to result in an offer even if you pass the assessment. Check the full job description for any VPN or tax-residency caveats.