Sr. Software Enginer for LLM Data Training (JavaScript)
Role Overview
This senior-level role involves reviewing and auditing evaluations of AI-generated JavaScript code by data annotators to ensure adherence to quality guidelines for instruction-following, correctness, and functionality. The hire will work within structured QA workflows, validating code snippets and providing feedback to maintain high annotation standards, directly impacting AI training data quality. It is a remote position focused on technical oversight and collaboration with annotators in a project-based team environment.
Perks & Benefits
The job offers remote work with flexible scheduling, likely accommodating various time zones, and includes weekly paid compensation for consistent income. Career growth opportunities are implied through performance-based rate re-evaluation for different projects, fostering a culture focused on AI training and quality assurance. While specific benefits are not detailed, typical remote tech perks such as professional development and a collaborative, expert-driven environment can be assumed.
Full Job Description
About the Company
G2i connects subject-matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact-checking, and content review. We partner with leading AI teams, and all contributions are paid weekly once approved, ensuring consistent and reliable compensation.
About the Role
We’re hiring a Code Reviewer with deep JavaScript expertise to review evaluations completed by data annotators assessing AI-generated JavaScript code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality.
Responsibilities
Review and audit annotator evaluations of AI-generated JavaScript code.
Assess if the JavaScript code follows the prompt instructions, is functionally correct, and secure.
Validate code snippets using proof-of-work methodology.
Identify inaccuracies in annotator ratings or explanations.
Provide constructive feedback to maintain high annotation standards.
Work within Project Atlas guidelines for evaluation integrity and consistency.
Required Qualifications
5–7+ years of experience in JavaScript development, QA, or code review.
Strong knowledge of JavaScript syntax, debugging, edge cases, and testing.
Comfortable using code execution environments and testing tools.
Excellent written communication and documentation skills.
Experience working with structured QA or annotation workflows.
English proficiency at B2, C1, C2, or Native level.
Preferred Qualifications
Experience in AI training, LLM evaluation, or model alignment.
Familiarity with annotation platforms.
Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines.
Compensation
Hourly rates are personalized based on your experience level, educational background, location, and industry expertise. You’ll see your specific rate in your contract offer before signing. Rates for technical roles can vary significantly based on these factors and can be re-evaluated for different projects based on your performance and experience.
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