Team Lead - Coding Data Annotation (LLM Training) jobs in United States
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Turing · 1 day ago

Team Lead - Coding Data Annotation (LLM Training)

Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. They are seeking a hands-on Team Lead / Engineering Manager to lead coding data annotation workstreams that support training and evaluation of Large Language Models (LLMs). This role involves technical leadership, team management, and cross-functional collaboration to ensure high-quality results in coding workflows.

Artificial Intelligence (AI)Generative AIInformation TechnologyMachine LearningSoftware Engineering
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H1B Sponsor Likelynote

Responsibilities

Architect and maintain high-quality workflow systems for coding data generation and validation
Design coding automations, execution environments, and quality gates to ensure correctness of produced data
Review team outputs for code correctness, clarity, robustness, and quality standards
Build scalable solutions for tasks such as:
RLHF data pipelines
SFT datasets
Competitive-programming–style annotation
Model-breaking tasks, benchmarks, verifiers
GYM systems (UI and non-UI)
Provide hands-on engineering support across Python, JavaScript, or domain-specific languages
Lead a team of developers/annotators to deliver high-quality results for specific coding workstreams
Provide coaching, technical mentorship, and best practices for code quality
Collaborate with Delivery Managers and PMs on project planning, annotation guidelines, KPI tracking, and quality frameworks
Support hiring and onboarding of engineers and annotators
Work with AI research, engineering, data, and tooling teams to align workflows with model requirements
Interface with infrastructure teams for deployment, execution pipelines, and testing environments
Communicate quality risks, improvements, and blockers effectively

Qualification

PythonPipeline designCode reviewJavaScript/TypeScriptCompetitive programmingBackend servicesFrontend/UI systemsAI/ML experienceLeadershipTechnical mentorship

Required

5+ years of hands-on coding experience for standard annotation projects
7+ years preferred for complex SFT, verifier, benchmark, or system-heavy workflows
Strong proficiency in Python; familiarity with JavaScript/TypeScript is highly desirable
Experience with one or more of the following (depending on project): Competitive programming problems, Debugging and analyzing multi-language code, Pipeline design and automation, Backend services, databases, and tooling for non-UI GYMs, Frontend/UI systems (React/Next.js) for UI GYMs
Ability to architect and deploy end-to-end systems
Has led engineering or development teams with responsibility for code quality and technical direction
Demonstrated ability to remain hands-on even in leadership roles
Strong background in reviewing code, maintaining standards, and improving engineering workflows
AI/ML experience is a plus, but not mandatory
Must be: AI-forward, Able to grasp LLM concepts quickly, Comfortable learning domain-specific processes

Preferred

Experience with LLM training workflows (RLHF, SFT, reward modeling, evaluators)
Familiarity with dataset creation, quality scoring, or model verifiers
Contributions to open-source tools or AI-related projects
Experience building annotation tools, internal developer platforms, or automation systems

Benefits

Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours

Company

Turing advances frontier AI and builds real-world systems for Fortune 500 companies, governments, and the world’s leading AI labs.

H1B Sponsorship

Turing has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (8)
2023 (7)
2022 (16)
2021 (6)

Funding

Current Stage
Late Stage
Total Funding
$270.19M
Key Investors
Khazanah NasionalAltaIR CapitalWestBridge Capital
2025-03-06Series E· $111M
2021-12-07Convertible Note· $6.85M
2021-10-04Series D· $87M

Leadership Team

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Jonathan Siddharth
Founder & CEO
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Vijay Krishnan
Founder & CTO
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Company data provided by crunchbase