Turing

Research Lead (Coding QA)

Palo Alto, California, United States

Turing Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Research & DevelopmentIndustries

Requirements

Candidates should be US-based, preferably on the West Coast, and possess exceptional communication skills, including experience working in large technical organizations. They should demonstrate a deep understanding of how LLM researchers operate, enabling them to translate ambiguous instructions into structured workflows. Furthermore, candidates are expected to have technical fluency and operational leadership, capable of leading AI/LLM training project delivery without needing to code, and a continuous improvement mindset focused on evolving team structure and delivery KPIs.

Responsibilities

As a Research Lead, the individual will lead the end-to-end execution of LLM training projects utilizing Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Reinforcement Learning from Execution Feedback (RLEF), overseeing a cross-functional team to ensure high-quality data and model improvements. They will serve as the senior-most researcher accountable for strategic client alignment, throughput, quality, and operational efficiency across multiple programming languages, while also providing support and calibration guidance to other code teams. The role involves client engagement, gathering requirements, aligning on quality expectations, and managing feedback loops, as well as taking initiative to unblock teams, address quality issues, and streamline workflows.

Skills

LLM training
SFT
RLHF
RLEF
AI/ML operational leadership
Stakeholder management
Workflow optimization
Team management
Client engagement

Turing

AI-driven matching of businesses with engineers

About Turing

Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.

Key Metrics

Palo Alto, CaliforniaHeadquarters
2018Year Founded
$132.3MTotal Funding
SERIES_DCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Risks

Competition from platforms like DevZero offering cloud-based development environments.
Crowded market with new AI-driven talent platforms like Gaper and Aloa.
Potential brand confusion with South Korean company Turing Co.

Differentiation

Turing uses AI to match businesses with over 3 million vetted engineers.
Turing's Talent Cloud accelerates team building, similar to scaling servers on AWS.
Turing offers a 99% rematch rate for engineers, ensuring job stability.

Upsides

Remote work trend boosts demand for Turing's remote engineer connections.
Global tech talent shortage increases reliance on Turing's AI-powered talent matching.
Turing's AI-driven recruitment tools enhance hiring efficiency and accuracy.

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