
JavaScript Engineer
SME Careers · United States
- Hybrid
- Contract
- $80,000 / year
- United States
Job highlights
- Review and generate AI code and explanations.
- Evaluate AI reasoning and problem-solving quality.
- Improve AI models for leading companies.
- Flexible, detail-oriented remote contract work.
- Access to future expert network projects.
About the role
JavaScript Engineer AI Data Training
As an hourly paid, fully remote JavaScript Engineer for AI Data Training, you will review complex AI-generated code and explanations or generate new ones, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt, identify errors in methodology or conceptual understanding, fact-check information, write high-quality explanations and model solutions that demonstrate correct methods, and rate and compare multiple AI responses based on correctness and reasoning quality.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs. Your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.
Important
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Key Responsibilities
- Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Your Profile
- Minimum 2+ years of professional JavaScript experience in production environments.
- Strong understanding of closures, async/await, prototype-based inheritance, and JavaScript event loop behavior, with deep proficiency in modern Vanilla JavaScript (ES6/ES2015+).
- Proven ability to evaluate correctness, readability, and performance of JavaScript code, including identifying subtle logic and edge-case issues.
- Hands-on work experience in software engineering, preferably in roles involving code review, mentoring, or technical design discussions.
- Significant experience using LLMs or AI coding assistants while programming, combined with a critical mindset for validating their output.
- Excellent English writing skills, capable of producing clear, concise, and pedagogical technical explanations.
- Strong proficiency with at least one major frontend framework (such as React, Angular, or Vue.js) or backend runtime (such as Node.js with Express or NestJS).
- Minimum Bachelor’s degree in Computer Science or a closely related technical field.
- Previous experience with AI data training, data annotation, or evaluation of AI-generated technical content is a strong plus; Minimum C1 English proficiency and a highly detail-oriented working style are required.
- Preferred: contributions or merged PRs in JavaScript or TypeScript open-source projects, familiarity with bundlers and tooling (Webpack, Vite, Rollup), frontend–backend integration and Node.js runtime behavior, reviewing typed API layers, DTOs, or schema-driven designs, and experience evaluating frontend logic, async patterns, and state management.
Key skills/competency
- JavaScript
- AI Data Training
- Code Review
- Technical Explanations
- Vanilla JavaScript (ES6+)
- Frontend Frameworks (React, Angular, Vue.js)
- Backend Runtimes (Node.js)
- LLM Evaluation
- Problem-Solving
- Computer Science Fundamentals
Skills & topics
- JavaScript Engineer
- AI Data Training
- Remote Work
- JavaScript
- ES6
- Node.js
- React
- Angular
- Vue.js
- Code Review
- LLM
- Technical Writing
- AI Evaluation
How to get hired
- Tailor your resume: Highlight your 2+ years of JavaScript production experience and expertise in closures, async/await, and the event loop.
- Showcase code evaluation skills: Emphasize your experience in identifying code logic, edge-case issues, and performance for JavaScript.
- Demonstrate AI familiarity: Detail your experience using LLMs or AI coding assistants and your critical mindset for validating their output.
- Craft a compelling cover letter: Clearly articulate your C1 English proficiency and detail-oriented working style, alongside your technical writing skills.
- Prepare for technical questions: Be ready to discuss your experience with modern Vanilla JavaScript, frontend/backend frameworks, and AI data training.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the role of a JavaScript Engineer at SME Careers?
- As a JavaScript Engineer at SME Careers, you will focus on AI data training. This involves reviewing and generating complex AI-generated code and explanations, evaluating their reasoning quality, and providing expert feedback to improve AI models. You'll assess accuracy, logic, clarity, and adherence to prompts.
- Is this a full-time or part-time position at SME Careers?
- This is an hourly paid, fully remote contract role. While there isn't an immediate project, qualified candidates will be contacted for relevant opportunities and gain access to future projects within SME Careers' expert network.
- What JavaScript knowledge is essential for this role?
- You'll need at least 2+ years of professional JavaScript experience, a strong understanding of closures, async/await, prototype-based inheritance, and the JavaScript event loop. Proficiency in modern Vanilla JavaScript (ES6/ES2015+) is crucial.
- Does SME Careers require experience with AI or LLMs for this role?
- Yes, significant experience using LLMs or AI coding assistants while programming is highly valued. A critical mindset for validating AI output is essential. Previous experience with AI data training or evaluation is a strong plus.
- What are the writing and communication requirements for this JavaScript Engineer position?
- Excellent English writing skills are required, enabling you to produce clear, concise, and pedagogical technical explanations. A Minimum C1 English proficiency and a highly detail-oriented working style are also mandatory.
- What academic background is expected for this role at SME Careers?
- A Minimum Bachelor’s degree in Computer Science or a closely related technical field is required. This ensures a foundational understanding of computer science principles relevant to software engineering.
- How does SME Careers use AI data training for its services?
- SME Careers, a subsidiary of SuperAnnotate, provides AI training data for major AI companies. The AI Data Training role contributes to improving these AI models by ensuring their code, explanations, and reasoning are accurate, logical, and clearly explained.
- What frontend or backend experience is beneficial for the JavaScript Engineer role?
- Strong proficiency with a major frontend framework like React, Angular, or Vue.js, or a backend runtime such as Node.js with Express or NestJS, is required. Experience with bundlers and frontend-backend integration is preferred.