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Writing

Technical Content Writer

Turing Remote, The United States, India, Bangladesh, Egypt, Kenya, Mexico, Nigeria, Pakistan, Turkey Posted 28 days ago

Education

Any

Type

Pay Rate

$45/task

Posted

28d ago

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About this Role

About the projects

we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like

: • Analyze and triage GitHub issues across trending open-source libraries. • Set up and configure code repositories, including Dockerization and environment setup. • Evaluating unit test coverage and quality. • Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. • Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. • Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills

• Minimum 3+ years of overall experience • Strong experience with at least one of the following languages:  Rust • Proficiency with Git, Docker, and basic software pipeline setup. • Ability to understand and navigate complex codebases. • Comfortable running, modifying, and testing real-world projects locally. • Experience contributing to or evaluating open-source projects is a plus.

Nice to Have

• Previous participation in LLM research or evaluation projects. • Experience building or testing developer tools or automation agents.

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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) •

Employment type

: Contractor assignment (no medical/paid leave) •

Duration of contract

: 3 month; [expected start date is next week] •

Location

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

Evaluation Process (approximately 75 mins)

• Two rounds of interviews (60 min technical + 30 min technical & cultural discussion)

Requirements

  • Must be eligible to work in one of: Remote, The United States, India, etc.
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Writing

Compensation Analysis

we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms

Skills & Categories

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Frequently Asked Questions

Do I need to be a software engineer?

Not anymore. Turing built its reputation matching senior engineers with Silicon Valley companies, but they have heavily pivoted into AGI infrastructure. They now hire non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English are required, but you do not need to code.

How does matching work?

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

How does payment work?

You are hired as an independent contractor, responsible for your own local taxes. Turing collects payment from the client and pays you monthly in USD via Deel, Payoneer, or direct bank/wire transfer. Monthly pay is standard for long-term contract roles — if you need weekly cash flow, this structure requires adjustment.

What equipment do I need?

For voice or audio roles at this pay level, you typically need a professional home studio setup (XLR microphone, treated room). Phone recordings or laptop mics are usually rejected by quality control.

How is my work used?

You are providing high-quality "ground truth" data. For writers, this means creative generation. For voice actors, it often means training Text-to-Speech models. Be sure to check the specific contract details regarding rights usage for your voice or likeness.

Is creative freedom allowed?

Yes and no. While you are hired for your talent, you must often follow strict style guides (e.g., "Speak in a neutral tone" or "Write in the style of a technical manual"). The goal is consistency for the dataset.