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LLM S2 Annotator (CUA Trajectory Specialist)
Turing • Remote
Education
Any
Type
Pay Rate (by country)
$40–$70/task
Listed
121d 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
Eligible Languages
Fluent proficiency in English
Why This Role
Work from anywhere, at any time. This fully remote LLM S2 Annotator (CUA Trajectory Specialist) position ($55/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the Software Engineering ecosystem.
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Frequently Asked Questions
Do I need to be a software engineer to work for Turing?
No, not anymore. Turing built its name matching senior engineers with Silicon Valley companies, but it has since expanded into AGI infrastructure work and now hires non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English matter more than coding ability.
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 actually 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 asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
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.
Do I need to be fluent in English?
Yes. This role specifically requires English proficiency. You will likely be evaluated on written fluency during the assessment, not just conversational level. If English is not your first language or you are not professionally fluent, this is not the right role. Filter for your native language to find better-matched listings.
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.