Agentic Coding Annotator - Online Tasks

Turing

India

Remote

INR 3,234,000 - 5,174,000

Full time

14 days+

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Benefits offered by this job

Remote work
Contractor position
Flexible scheduling

Job summary

Turing is seeking detail-oriented software practitioners to evaluate and improve datasets for agentic coding models. You will review model trajectories, verify solutions, and provide high-quality annotations across online and offline tasks.

This role emphasizes engineering judgment, reading and debugging code, and following strict process rules to produce consistent evaluation outcomes across multiple model runs. Remote freelance contractors can join global teams.

Qualifications

  • 5+ years of experience in software engineering, QA, developer tooling, data/ML engineering, or similar code-heavy roles.
  • Strong hands-on experience in at least 1–2 programming languages or ecosystems.
  • Ability to read unfamiliar codebases, run tests, debug issues, and assess functional correctness.

Responsibilities

  • Execute realistic coding tasks within the assigned agentic coding harness while maintaining model blindness and session independence.
  • Follow task instructions, milestones, planned interactions, and evaluation guardrails consistently across runs.
  • Verify model outputs by reading code, running commands, checking logs, and validating generated artifacts.
  • Write clear, specific, evidence-based rationales for trajectory rankings and assessments.

Skills

Software engineering
QA & ML tooling
Code debugging

Tools

Linux/Ubuntu
Git
Docker
CLI tools

Job description

About TuringTuring is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview

We are looking for strong, detail-oriented software practitioners to help evaluate and improve datasets for agentic coding models. This role involves working with realistic coding tasks in an agentic coding harness, reviewing model trajectories, verifying solutions, and producing high-quality annotations.

Depending on the assignment, the work may include: Online evaluations: Interacting with blinded models on predefined tasks, then ranking and grading the resulting trajectories; Offline evaluations: Designing realistic coding tasks, calibrating them through user simulation, writing task-specific rubrics, and grading generated trajectories.

This is not a basic annotation role. It requires strong engineering judgment, the ability to read and debug code, validate behavior, follow detailed process rules, and make consistent evaluation decisions across model runs.

We are specifically looking for candidates with enough engineering maturity to independently handle real-world software tasks, not just toy problems or superficial code review exercises.

What does day-to-day look like
  • Execute realistic coding tasks within the assigned agentic coding harness while maintaining model blindness and session independence
  • Follow task instructions, milestones, planned interactions, and evaluation guardrails consistently across runs
  • Verify model outputs by reading code, running commands, checking logs, and validating generated artifacts
  • Write clear, specific, evidence-based rationales for trajectory rankings and assessments
  • Design multi-step, realistic coding tasks (offline work), including user intent, milestones, and expected behaviors
  • Create and refine task-specific rubrics and binary evaluation criteria
  • Review completed work for quality, consistency, completeness, and schema compliance
  • Identify and upscale broken environments, unclear instructions, or process gaps with supporting evidence
Requirements
Software Engineering Fluency (Mandatory)
  • 5+ years of experience in software engineering, QA, developer tooling, data/ML engineering, or similar code-heavy roles
  • Strong hands-on experience in at least 1–2 programming languages or ecosystems
  • Ability to:Read and understand unfamiliar codebases; Run and interpret tests, scripts, and CLI tools; Debug issues and reason about edge cases or partial fixes; Evaluate whether an implementation is functionally correct
  • Representative languages include:Python, JavaScript/TypeScript, Rust, Java, C/C++, Bash/CLI environments, Haskell, Swift, SQL, or other production-relevant ecosystems
Terminal & Tooling Skills (Mandatory)
  • Comfortable working in Linux/Ubuntu-like environments
  • Proficient with:Terminal workflows; Git basics; Code editors or IDEs; Package managers and test runners; JSON, YAML, and Markdown; Familiarity with Docker and reproducible environments (strong plus, especially for offline work)
Coding-Agent Workflow Familiarity (Mandatory)
  • Comfortable working with or quickly adapting to agentic coding environments, such as:OpenCode, Claude CodeCursor, Similar coding-agent tools
  • Ability to execute and evaluate tasks within agent-driven workflows
Quality Judgment & Annotation Accuracy (Mandatory)
  • Ability to:Compare multiple model trajectories and identify meaningful differences; Distinguish correctness from style, communication quality, and agent behavior; Evaluate solutions consistently using defined rubrics; Follow detailed process instructions without deviation; Maintain consistency across repeated or similar evaluations; Write concise, evidence-based rationales (not generic summaries)
Work Style
  • Highly detail-oriented and process-driven
  • Comfortable with repetitive, high-precision evaluation work
  • Able to maintain consistency across long tasks and multiple model runs
  • Proactively flags ambiguity instead of making assumptions
  • Balances realism with strict evaluation consistency
Perks of Freelancing With Turing
  • Work on cutting-edge AI projects with leading foundation model companies
  • Collaborate on high-impact work at the frontier of LLM evaluation and reasoning
  • Remote, flexible opportunities with global teams
  • Competitive compensation based on experience and project scope
Offer Details

Commitments Required: 8 hours per day with a 4-hour overlap with PST. Employment Type: Contractor position (Note: this role does not include medical/paid leave). Duration of Contract: 5 weeks; [expected start date is next week].

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