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Software Engineering turing

LLM S2 Annotator (CUA Trajectory Specialist)

Turing • Remote

Education

Not stated

Type

Contract

Pay Rate

$40–$70/task

Listed

186d ago

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About this role

From the Turing listing

A well-established company that is leveraging the advanced power of technology to help realize the science-fiction fantasy of collaborative and open-ended computer dialogues, is looking for Go develoeprs. The engineer will be working  together on the definition, design, and delivery of new features with cross-functional teams. The company is developing the next generation of dialog agents, which will have a wide range of uses in areas including education, entertainment, and general question-answering. This is an exciting opportunity for candidates who are keen to learn in a fast-paced setting.

Job Responsibilities

• Review the  code / solutions generated by an AI system, ensuring adherence to quality standards and best practices • Organize the development cycle, effectively manage project priorities, and specify goals and deadlines • Use your expertise in Go programming to help resolve difficult coding issues that come up during AI validation • Create a collaborative environment within the team that encourages innovation, communication, and continued improvement • Verify the accuracy, efficiency, and dependability of AI-generated code by validating it • Work with cross-functional teams to identify strategies for enhancing the AI system's capabilities and integrating it with other elements • Analyze team members' code and provide constructive feedback to promote a high caliber of software development

Job Requirements

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience) • At least 3+ years of relevant experience as a software engineer • Demonstrated ability to lead, ideally overseeing a group of software engineers • In-depth knowledge of the Go programming languages and the best practices for software development • Desirable to have some experience with AI systems and code-creation technologies • Identify and add to public GitHub repositories that need improvement in a proactive manner which can involve developing new features and reworking existing code, and it will have a major influence on projects with large codebases (50K+ lines of code). It will be good to have candidates who have used Github in the past. • Train LLM models with high-quality, stable, and scalable back-end components using the newest coding best practices in a variety of languages and frameworks. • Ability to collaborate closely with developers, inspiring and setting an example for them • Outstanding problem-solving abilities as well as the capacity for critical and strategic thought • Exceptional communication skills, with proficiency in English, both written and verbal

Offer Details

• This is a contractual position. • Duration of contract & committed hours are flexible.

Interview Process

Two internal interviews (60 min technical + 15-30 min cultural and offer conditions discussion).

Requirements

  • Must be eligible to work in Remote
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Software Engineering

Key responsibilities

  • Review the code / solutions generated by an AI system, ensuring adherence to quality standards and best practices
  • Organize the development cycle, effectively manage project priorities, and specify goals and deadlines
  • Use your expertise in Go programming to help resolve difficult coding issues that come up during AI validation
  • Create a collaborative environment within the team that encourages innovation, communication, and continued improvement

Why this role

Being remote means this LLM S2 Annotator (CUA Trajectory Specialist) position pays $40–$70/task regardless of your zip code, opening up Software Engineering work that used to require living in one of a handful of cities.

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Common questions

How does Turing's talent matching work?

Turing calls it the Intelligent Talent Cloud. You build a profile and go through vetting (automated tests, an AI-powered interview, practical skill assessments), and once vetted, Turing's algorithm surfaces your profile directly to partner companies like Fortune 500s and top AI labs. You don't browse listings or bid on work; matches come to you.

How and when does Turing pay contractors?

Monthly, in USD, via Deel, Payoneer, or direct bank transfer. You're engaged as an independent contractor responsible for your own local taxes. Plan your cash flow around a monthly cycle if you're used to weekly payouts elsewhere.

What does task-based AI training work look like?

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

What does Software Engineering work look like for a LLM S2 Annotator (CUA Trajectory Specialist)?

Tasks here are scoped to Software Engineering, not generic labeling. As a LLM S2 Annotator (CUA Trajectory Specialist), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.

What specific skills does this listing call for?

Data Annotation, English, and Entry Level are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.

How much does this specific role pay?

This listing is posted at $40–$70/task, a per-task rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.

What happens when I click Apply on this listing?

You'll be taken to Turing's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.