Code Reviewer - Javascript

HumanitApp; Pakistan; Remote; PKR 9,530,000 - 11,436,000; Full time

Benefits offered by this job

Fully remote environment

Work on cutting-edge AI projects

Job summary

Turing is seeking experienced software engineers at tech-lead level to work on open-source style repositories, Dockerization, and test-quality evaluation. This remote contractor role focuses on hands-on coding, environment automation, issue triage, and evaluating unit test coverage, with a focus on LLM bug-fix scenarios.

You'll collaborate with researchers to designate challenging repositories for LLM evaluation and contribute to open-source projects, while enabling a fully remote, flexible

Qualifications

• Minimum 2+ years of overall experience.
• 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.

Responsibilities

• 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.

Skills

Git

Docker

Basic software pipeline setup

Codebase navigation

LLM evaluation

Tools

Git

Docker

Job description

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 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.

Day-to-Day Responsibilities

• 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.

Required Skills

• Minimum 2+ years of overall experience.
• 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.

Commitments Required

At least 4 hours per day and minimum 40 hours per week with overlap of 4 hours with PST.

Employment Type

Contractor assignment (no medical/paid leave)

Duration of contract

2-3 weeks; [expected start date is next week]

Payment

$25 per approved task

Evaluation Process (approximately 75 mins)

Assessment based review

Source

Source: Turing official job description, checked 2026-11-09. Turing decides selection and final terms. Referral rewards are separate from applicant compensation.

Compensation context

The listing states $25 per approved task. Confirm the final rate, workload, and payment terms during the official application process.