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Engineering Manager – LLM Evaluation

per hour
Contractor Remote Last verified 21 Jul 2026
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About the Role

We are looking for an Engineering Manager to lead teams creating high-quality conversational data for training and evaluating advanced Large Language Models (LLMs). The role involves managing the design of realistic, multi-turn interactions between users and AI assistants, including tool-based workflows involving calendars, email, maps, cloud storage, and other applications. The manager will oversee project execution, maintain quality standards, guide technical decision-making, and collaborate with engineering, operations, and review teams to deliver reliable training and evaluation datasets.

What You'll Do

  • Lead and manage teams responsible for creating and evaluating multi-turn LLM conversations.
  • Define workflows, priorities, quality standards, and delivery goals for conversation data projects.
  • Guide the design of realistic assistant interactions involving APIs, JSON, function calls, and external tools.
  • Review complex scenarios involving decision-making, clarification, error handling, constraints, and task completion.
  • Ensure conversations accurately reflect realistic user expectations and assistant capabilities.
  • Establish quality-control processes and monitor team performance, consistency, and deliverable quality.
  • Coach team members on technical reasoning, conversation design, tool usage, and adherence to project guidelines.
  • Collaborate with engineering, product, operations, and quality teams to resolve issues and improve workflows.

You're a Good Fit If You

  • Required skills: Software Development, API Integrations , JSON
  • 5+ years of professional experience in software engineering, technical operations, data, AI, or a related technical field.
  • Prior experience managing, mentoring, or leading technical teams.
  • Strong understanding of APIs, JSON, data formats, logical reasoning, and structured workflows.
  • Ability to guide teams in breaking down complex tasks into realistic conversational and tool-use flows.
  • Strong understanding of assistant behavior, including tool selection, clarification, limitations, and error handling.
  • Excellent written and verbal English communication skills.
  • Strong attention to detail and ability to establish and enforce quality standards.
  • Proven ability to manage multiple priorities, provide actionable feedback, and deliver projects within deadlines.

Role Highlights

Pay
Pay varies
Contract
Contractor
Location
Remote
Category
Coding
Posted
a month ago
Job ID
WE-8112

Pay & Payout

Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

Common Questions

Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.

Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

Lead and manage teams responsible for creating and evaluating multi-turn LLM conversations. Define workflows, priorities, quality standards, and delivery goals for conversation data projects. Guide the design of realistic assistant interactions involving APIs, JSON, function calls, and external tools.

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