Software Engineer – Mining · Turing Turing · TBD · Remote (select) · 3w ago TBD Remote (select) 3w ago

Benture

Pakistan

Remote

PKR 30,233,000 - 45,349,000

Part time

14 days+
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Job summary

Turing is hiring a Software Engineer for the Mining team on a contract basis. This remote 5-week engagement requires 40 hours per week with at least 6 hours overlapping PST. Work focuses on transforming real-world workflows into long-horizon, testable tasks for AI agents.

You will write evaluation rubrics, validate task quality through QA, and collaborate with engineers building Python backends that simulate SaaS tools, ensuring accurate, scalable task design and execution.

Qualifications

  • Strong backend software engineering experience, primarily in Python.
  • Working knowledge of GCP, Docker, virtual machines, and Harbor.
  • Excellent written communication; rubric and QA writing is core to this role.
  • High daily proficiency with AI coding tools (e.g., Claude Code, Cursor, Copilot) — a hard requirement.

Responsibilities

  • Mine real data, tools, and workflows to understand how knowledge work is performed across enterprise apps.
  • Author long-horizon agent tasks grounded in research with realistic, multi-step objectives.
  • Write clear evaluation rubrics defining correct, complete, and high-quality task completion.
  • Validate task quality, realism, and correctness through rigorous QA; identify ambiguity and gaps before tasks ship.
  • Collaborate with the connectors team to ground tasks in realistic environments (Slack, Linear, Jira, Notion, Gmail, wikis).
  • Reproduce and debug failures, feeding findings back to task authors and connectors engineers.
  • Help define and improve QC standards, checklists, and processes as the initiative scales.

Skills

Python backend
GCP
Docker
Virtual machines
Harbor
AI coding tools

Tools

GCP
Docker
Harbor
Virtual Machines

Job description

Software Engineer – Mining | Contractor | Remote (India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico)

Join Turing's frontier AI data initiative as a Software Engineer on the Mining team. In this role, you'll transform real-world enterprise workflows into rigorous, long-horizon tasks used to train and evaluate cutting-edge AI agents. This is a 5-week contract engagement requiring at least 40 hours per week with 6 hours of daily overlap with PST.

About Turing

Turing is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing partners with leading AI labs to advance frontier model capabilities in reasoning, coding, agentic behavior, multimodality, and STEM — and applies that expertise to build real-world AI solutions for enterprise clients.

What You'll Do
  • Mine real data, tools, and workflows to deeply understand how knowledge work is performed across enterprise applications.
  • Author long-horizon agent tasks grounded in research — realistic, multi-step objectives that mirror genuine digital work.
  • Write clear evaluation rubrics defining what correct, complete, and high-quality task completion looks like.
  • Validate task quality, realism, and correctness through rigorous QA — catching ambiguity, unrealistic assumptions, and grading gaps before tasks ship.
  • Collaborate closely with the connectors team — engineers building Python backends that replicate SaaS tools such as Slack, Linear, Jira, Notion, Gmail, and wikis — to ground tasks in realistic environments.
  • Pressure-test rubrics to confirm they define completion precisely, grade consistently, and cannot be gamed or misread.
  • Reproduce and debug failures, feeding clear findings back to task authors and connector engineers.
  • Help define and improve QC standards, checklists, and processes as the initiative scales.
What We're Looking For
  • Strong backend software engineering experience, primarily in Python.
  • Working knowledge of GCP, Docker, virtual machines, and Harbor.
  • Sound engineering judgment with a high bar for correctness — you find edge cases and ambiguity others miss.
  • Ability to reason about real-world workflows and translate them into precise, well-scoped tasks and rubrics.
  • Excellent written communication; rubric and QA writing is core to this role.
  • High daily proficiency with AI coding tools (e.g., Claude Code, Cursor, Copilot) — a hard requirement.
Nice to Have
  • Experience building or evaluating agentic/LLM systems.
  • Familiarity with SaaS tools (Slack, Jira, Notion, etc.) at an API or data-model level.
  • Background in data annotation, evaluation design, or QA at scale.
  • Generalist backend engineering skills with the ability to contribute on the connectors side when needed.
Contract Details
  • Commitment: Minimum 40 hours/week, at least 6 hours/day with PST overlap
  • Employment Type: Contractor (no medical or paid leave benefits)
  • Duration: 5 weeks (expected start: next week)
  • Eligible Locations: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico
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