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Software Engineering

LLM Trainer – Software Engineering (SWE Bench)

Turing Remote

Education

Any

Type

hourly

Pay Rate (by country)

$25–$55/hr

Listed

13d 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
20 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 leading AI labs improve the reasoning, problem-solving, and decision-making capabilities of large language models (LLMs) through high-quality human feedback, evaluation, and training data.

Role Overview

We are looking for experienced Software Engineers to contribute to cutting-edge AI model development by creating and evaluating high-quality software engineering tasks for frontier Large Language Models (LLMs). In this role, you will leverage your software development expertise to design realistic engineering scenarios, develop test cases, validate solutions, and improve AI models' ability to solve complex software engineering problems.

This opportunity is ideal for engineers with strong programming fundamentals and experience working across modern software development workflows, including feature implementation, migrations, APIs, networking, and large-scale codebases.

What Does Day-to-Day Look Like? Design realistic software engineering tasks that evaluate the reasoning and coding capabilities of frontier LLMs. Write clear task descriptions, expected behaviors, metadata, and solution explanations. Develop comprehensive test logic to validate model-generated solutions. Review, evaluate, and improve AI-generated code for correctness, maintainability, and software engineering best practices. Create engineering scenarios involving feature implementation, bug fixing, refactoring, migration, and code porting. Work with repositories across multiple programming languages and frameworks. Analyze model failures and provide structured feedback to improve future model performance. Collaborate with internal quality teams to ensure engineering tasks meet project standards. Requirements Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field. 3+ years of professional software engineering experience. Strong proficiency in one or more of the following languages: Python, Java, C/C++, JavaScript / TypeScript, Go, PHP, Ruby, Rust trong understanding of software engineering principles, data structures, algorithms, and system design. Experience working with:Feature implementation, Code migration and porting, Web applications, REST APIs, Networking software Ability to write clear technical documentation, task descriptions, metadata, and engineering explanations. Excellent analytical, debugging, and problem-solving skills. Strong written English communication skills. Perks of Freelancing With Turing Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Offer Details Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement  type  : Contractor assignment (no medical/paid leave) Duration of contract : 2 month; [expected start date is next week]

Requirements

  • Python
  • Java
  • JavaScript
  • C++
  • PHP
  • Git
  • Docker

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

Geography stops mattering here. This remote LLM Trainer – Software Engineering (SWE Bench) opportunity pays $40/hr regardless of where you're based, making it a solid entry point into Software Engineering work without needing to relocate.

Skills & Categories

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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 LLM Trainer – Software Engineering (SWE Bench)?

Tasks here are scoped to Software Engineering, not generic labeling. As a LLM Trainer – Software Engineering (SWE Bench), 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 20 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.