LLM S2 Annotator (CUA Trajectory Specialist)
Turing • Remote • Posted 28 days ago
Education
Any
Type
Pay Rate
$55/task
Posted
28d ago
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About this Role
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
Compensation Analysis
Work from anywhere, at any time. This fully remote 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 data labeling and AI training ecosystem.
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Frequently Asked Questions
Do I need to be a software engineer?
Not anymore. Turing built its reputation matching senior engineers with Silicon Valley companies, but they have heavily pivoted into AGI infrastructure. They now hire non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English are required, but you do not need to code.
How does matching work?
Turing calls it the 'Intelligent Talent Cloud.' You build a profile and go through deep vetting — automated tests, an AI-powered interview, and practical skill assessments. Once vetted, Turing's algorithm automatically surfaces you to partner companies (Fortune 500s and top AI labs). You don't browse job boards or bid on work — matches come to you.
How does payment work?
You are hired as an independent contractor, responsible for your own local taxes. Turing collects payment from the client and pays you monthly in USD via Deel, Payoneer, or direct bank/wire transfer. Monthly pay is standard for long-term contract roles — if you need weekly cash flow, this structure requires adjustment.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.