G2i Inc.

Evaluate AI-generated code interactions for quality and provide clear, opinionated feedback to define high standards. | Senior-level engineer with strong TypeScript/JavaScript skills, experience with AI coding tools like Claude Code, and ability to assess code quality without deep execution. | Job Description: • Evaluate AI-generated coding interactions end-to-end • Judge whether outputs are useful and correct at a high level • Assess the quality of explanations and reasoning • Distinguish between different levels of response quality • Provide clear, opinionated feedback on interactions • Help define what great looks like when interacting with tools Requirements: • Staff / Principal-level engineer (or equivalent experience) • Strong background in TypeScript / JavaScript or Python • Hands-on experience using OpenAI Codex, Claude Code, and Cursor • Deep familiarity with modern AI-assisted dev workflows • Able to evaluate code without needing to fully execute or deeply review every line • Comfortable giving direct, opinionated feedback • High bar for what ‘good engineering’ looks like Benefits: • Competitive compensation based on experience • Project-based work with flexible hours • Potential to work on multiple projects

Own backend systems and infrastructure end-to-end, building performant APIs and scalable architectures on AWS. | Bachelor's degree and 5+ years of backend-focused software engineering experience with proficiency in Node, TypeScript, and AWS preferred. | About the Role Our client is an early-stage, venture-backed fintech startup on a mission to expand access to financial tools for people historically excluded from the traditional credit system. They're growing fast, capital-efficient, and looking for a Backend Engineer to help build and scale the infrastructure powering their products. This is a high-ownership role for someone who wants to own systems end-to-end, move fast, and lean heavily into AI-assisted development to multiply their output without sacrificing quality. What You'll Do Own backend systems and infrastructure end-to-end, from design through deployment and scaling Build performant, reliable APIs and services that power core financial products Design and implement scalable architectures on AWS using Node (TypeScript) Make pragmatic tradeoffs between speed, reliability, scalability, and maintainability Ship production code frequently while maintaining high quality standards Help establish technical patterns and best practices for the engineering team Interface effectively with product engineers and other stakeholders What We're Looking For Bachelor's degree in Computer Science or a related technical field 5+ years of professional software engineering experience, with a significant backend focus Experience building and scaling production systems with Node and AWS Proficiency with TypeScript strongly preferred Track record of delivering reliable, performant systems at scale Systems-oriented mindset with a deep focus on performance, reliability, and scalability Strong sense of ownership and accountability for system outcomes Comfortable thinking critically about architectural decisions and their long-term implications Thrives in ambiguity and can make sound technical decisions with incomplete information Self-starter who can work independently and drive projects to completion Embraces AI-assisted development to accelerate output while maintaining high code quality What to Expect High ownership with minimal bureaucracy A fast-moving environment where roles and priorities evolve quickly An intense pace of execution and growth — this is not a 9-to-5, work-life-balance-optimized role Speed, learning, and impact as core values Compensation Salary range of 150-250k USD/year + equity, depending on location and seniority.

Lead full stack project development and define technical direction with scalable code. | Over 5 years experience on production systems with mission-driven mindset and customer empathy. | About Us: Camber builds software to improve the quality and accessibility of healthcare. We streamline and replace manual work so clinicians can focus on what they do best: providing great care. For more details on our thesis, check out our write-up: What is Camber? We’ve raised $50M in funding from phenomenal supporters at a16z, Craft Ventures, YCombinator, Manresa, and many others who are committed to improving the accessibility of care. For more information, take a look at: Announcing Camber About our Culture: Our mission to change behavioral health starts with us and how we operate. We don’t want to just change behavioral health, we want to change the way startups operate. Here are a few tactical examples: 1) Improving accessibility and quality of healthcare is something we live and breathe. Everyone on Camber’s team cares deeply about helping clinicians and patients. 2) We have to have a sense of humor. Healthcare is so broken, it's depressing if you don't laugh with us. About the role: Camber is looking for engineers who want to make healthcare more accessible and affordable. In this role, you’ll work across our stack, propose and lead new projects, and help us define the company’s technical and product direction. What you'll do: Lead projects: You’ll take projects from 0 to 1. You’ll identify problems, build alignment, and implement solutions autonomously. Write great code: Our engineers strive to write code that’s not only functional, but readable, maintainable, and scalable. Build team culture: We believe that a great company and engineering team culture are essential to build great product What we're looking for: Experience: 5+ years of experience working on production systems. Mission-driven mindset: Driven to empower clinicians with product experiences that lets them focus on providing care, not manual check-the-box work. Customer Empathy: Our engineers need to understand our customers’ pain points to build products that meet their needs. Curiosity: We look for engineers who love learning new things. We don’t expect you to know everything about the technologies we’re using or our industry, as long as you’re curious and interested in learning. Camber is based in New York City, and we prioritize in-person and hybrid candidates. Please refer to the top of this page for this position's hiring location. Building an inclusive culture is one of our core tenets as a company. We’re very aware of structural inequalities that exist, and recognize that underrepresented minorities are less likely to apply for a role if they don’t think they meet all of the requirements. If that’s you and you’re reading this, we’d like to encourage you to apply regardless — we’d love to get to know you and see if there’s a place for you here! In addition, we take security seriously, and all of our employees contribute to uphold security requirements and maintain compliance with HIPAA security regulations.

Evaluate AI-generated coding interactions for quality, usefulness, and engineering judgment without writing production code. | Senior-level software engineer with strong background in relevant programming languages and experience with AI coding tools, able to provide subjective but rigorous feedback. | Senior AI Interaction Evaluator (Codex / Claude Code)Contract | $50-200/hr | 10+ hrs/week | Project-based Roles open on a rolling basis - apply to join the talent bench and we'll reach out when one matches. Expect 40+ hrs once a project starts; timing depends on availability, but we move people in at the earliest genuine opportunity. These roles are currently filled but we hire on a rolling basis as new projects open up. Apply now to join our talent bench - qualified candidates will be contacted directly when roles become available. Check out this Loom video for more details! We're looking for highly experienced software engineer (SR+) to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code. This is not a traditional engineering role. You won't be writing production code. You'll be evaluating something harder: whether the model thinks like a great engineer. What This Role Actually IsYou will assess how AI coding agents behave in real-world scenarios - focusing on: • Whether the response makes sense • Whether the preamble and reasoning are useful • Whether the output reflects strong engineering judgment • Whether the interaction feels right to an experienced developer This role is about engineering taste - not syntax correctness. What You'll Be Doing• Evaluate AI-generated coding interactions end-to-end • Judge whether outputs are: • Useful • Correct (at a high level) • Aligned with how a strong engineer would think • Assess the quality of explanations and reasoning, not just code • Distinguish between different levels of response quality (e.g. what makes something a 2 vs 4) • Provide clear, opinionated feedback on: • What worked • What didn't • What felt "off" or misleading • Help define what great looks like when interacting with tools like Cursor What We Mean by "Taste"We're specifically looking for engineers who can answer questions like: • Does this feel like something a strong engineer would actually say? • Is this explanation helpful, or just technically correct? • Is the model guiding the user well, or just dumping output? • Would this interaction build or erode trust? You should be comfortable making subjective but rigorous judgments. Who You Are• Staff / Principal-level engineer (or equivalent experience) • Strong background in one of the below: • TypeScript / JavaScript • Python • Hands-on experience using: • OpenAI Codex • Claude Code • Cursor • Deep familiarity with modern AI-assisted dev workflows • Able to evaluate code without needing to fully execute or deeply review every line • Comfortable giving direct, opinionated feedback • High bar for what "good engineering" looks like Nice to Have• Experience with tools like Cursor or similar AI-first IDEs • Prior exposure to prompt design or evaluation workflows • Experience mentoring senior engineers or defining engineering standards Engagement Details• US and Canada up to $200/hr • EU and Latam up to $150/hr • Other locations up to $100/hr • Hours: ~10-20 hours/week • Duration: Ongoing - project-based • Process: • Take-home evaluation exercise • One behavioral interview

Train large language models by ranking, editing, and justifying code snippets to improve model performance. | 3+ years professional TypeScript experience, strong code-review instincts, excellent written communication, and ability to work asynchronously. | Before applying This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying — we're unable to process applications from unlisted locations. List of accepted countries and locations. For US applicants This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment, guaranteed hours, or employer sponsorship. We are unable to provide offer letters or employment verification for this role. What You'll Be Doing Help train large language models (LLMs) to write production-grade code across a wide range of programming languages: Compare and rank multiple code snippets, explaining which is best and why Repair and refactor AI-generated code for correctness, efficiency, and style Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship. What You'll Need 3+ years of professional software engineering experience in TypeScript (constraint programming experience is a bonus, but not required) Strong code-review instincts — you can spot logic errors, performance traps, and security issues quickly Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. Comfortable reading documentation and language specs, and able to work well in an asynchronous, low-oversight environment Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence. What You Don't Need No prior RLHF or AI training experience No deep machine learning knowledge — if you can review and critique code clearly, we'll teach you the rest Logistics Location: Fully remote — work from anywhere on the accepted locations list Compensation: $30–$70/hr based on location and seniority. Note: the majority of projects run at around $30/hr — higher rates apply to senior profiles and specific project types Hours: Minimum 15 hrs/week, up to 40+ hrs/week available — hours vary by project and are not guaranteed week to week Engagement: 1099 independent contractor Payment: Weekly via PayPal or Stripe ⚠️ Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.

Train large language models by ranking, editing, and critiquing AI-generated code to improve quality and efficiency. | At least 3 years of professional Java software engineering experience, strong code-review instincts, excellent written communication, and ability to work asynchronously. | Before applying This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying — we're unable to process applications from unlisted locations. List of accepted countries and locations. For US applicants This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment, guaranteed hours, or employer sponsorship. We are unable to provide offer letters or employment verification for this role. What You'll Be Doing Help train large language models (LLMs) to write production-grade code across a wide range of programming languages: Compare and rank multiple code snippets, explaining which is best and why Repair and refactor AI-generated code for correctness, efficiency, and style Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship. What You'll Need 3+ years of professional software engineering experience in Java (constraint programming experience is a bonus, but not required) Strong code-review instincts — you can spot logic errors, performance traps, and security issues quickly Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. Comfortable reading documentation and language specs, and able to work well in an asynchronous, low-oversight environment Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence. What You Don't Need No prior RLHF or AI training experience No deep machine learning knowledge — if you can review and critique code clearly, we'll teach you the rest Logistics Location: Fully remote — work from anywhere on the accepted locations list Compensation: $30–$70/hr based on location and seniority. Note: the majority of projects run at around $30/hr — higher rates apply to senior profiles and specific project types Hours: Minimum 15 hrs/week, up to 40+ hrs/week available — hours vary by project and are not guaranteed week to week Engagement: 1099 independent contractor Payment: Weekly via PayPal or Stripe ⚠️ Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.

Train large language models by ranking, editing, and justifying code snippets to improve model performance. | 3+ years Java software engineering experience, strong code-review instincts, excellent written communication, and ability to work asynchronously. | Before applying This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying — we're unable to process applications from unlisted locations. List of accepted countries and locations. For US applicants This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment, guaranteed hours, or employer sponsorship. We are unable to provide offer letters or employment verification for this role. What You'll Be Doing Help train large language models (LLMs) to write production-grade code across a wide range of programming languages: Compare and rank multiple code snippets, explaining which is best and why Repair and refactor AI-generated code for correctness, efficiency, and style Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship. What You'll Need 3+ years of professional software engineering experience in Java (constraint programming experience is a bonus, but not required) Strong code-review instincts — you can spot logic errors, performance traps, and security issues quickly Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. Comfortable reading documentation and language specs, and able to work well in an asynchronous, low-oversight environment Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence. What You Don't Need No prior RLHF or AI training experience No deep machine learning knowledge — if you can review and critique code clearly, we'll teach you the rest Logistics Location: Fully remote — work from anywhere on the accepted locations list Compensation: $30–$70/hr based on location and seniority. Note: the majority of projects run at around $30/hr — higher rates apply to senior profiles and specific project types Hours: Minimum 15 hrs/week, up to 40+ hrs/week available — hours vary by project and are not guaranteed week to week Engagement: 1099 independent contractor Payment: Weekly via PayPal or Stripe ⚠️ Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.

Train large language models by ranking, editing, and refactoring AI-generated code to meet production standards. | At least 3 years professional TypeScript experience, strong code-review instincts, excellent written communication, and ability to work independently remotely. | Before applying This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying — we're unable to process applications from unlisted locations. List of accepted countries and locations. For US applicants This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment, guaranteed hours, or employer sponsorship. We are unable to provide offer letters or employment verification for this role. What You'll Be Doing Help train large language models (LLMs) to write production-grade code across a wide range of programming languages: Compare and rank multiple code snippets, explaining which is best and why Repair and refactor AI-generated code for correctness, efficiency, and style Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship. What You'll Need 3+ years of professional software engineering experience in TypeScript (constraint programming experience is a bonus, but not required) Strong code-review instincts — you can spot logic errors, performance traps, and security issues quickly Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. Comfortable reading documentation and language specs, and able to work well in an asynchronous, low-oversight environment Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence. What You Don't Need No prior RLHF or AI training experience No deep machine learning knowledge — if you can review and critique code clearly, we'll teach you the rest Logistics Location: Fully remote — work from anywhere on the accepted locations list Compensation: $30–$70/hr based on location and seniority. Note: the majority of projects run at around $30/hr — higher rates apply to senior profiles and specific project types Hours: Minimum 15 hrs/week, up to 40+ hrs/week available — hours vary by project and are not guaranteed week to week Engagement: 1099 independent contractor Payment: Weekly via PayPal or Stripe ⚠️ Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.

Assist in training large language models by reviewing, critiquing, and improving code snippets, and providing detailed explanations. | 3+ years of professional software engineering experience in Python, strong code review skills, attention to detail, and excellent written communication. | Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: • Compare & rank multiple code snippets, explaining which is best and why. • Repair & refactor AI-generated code for correctness, efficiency, and style. • Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need • 3+ years of professional software engineering experience in Python (Constraint programming experience is a bonus, but not required) • Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly. • Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. • You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need • No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. • No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of Python. Logistics • Location: Fully remote — work from anywhere • Compensation: From $30/hr to $70/hr, depending on location and seniority • Hours: Minimum 15 hrs/week, up to 40 hrs/week available • Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Design, build, and maintain backend services with Node.js + Nest.js and frontend applications with React + Next.js while collaborating with product and design teams. | 5–7 years professional experience, strong JavaScript/TypeScript with Node.js + Nest.js, React + Next.js proficiency, AWS experience, and US location required. | Description: • Design, build, and maintain backend services using Node.js + Nest.js (primary), and support services in Express and Python where needed. • Build and maintain frontend applications in React + Next.js. • Work with AWS cloud services (RDS, ECS, CloudWatch, version control) to deploy and monitor applications. • Collaborate closely with product and design to deliver new features end-to-end. • Ensure code quality, testing, and best practices across multiple backends. • Troubleshoot performance bottlenecks, optimize services, and improve system scalability. • Contribute to architectural decisions as the company scales its engineering. Requirements: • 5–7 years of professional software engineering experience. • Strong expertise in JavaScript/TypeScript with Node.js + Nest.js on the backend. • Proficiency with React + Next.js on the frontend. • Experience working with AWS services: RDS, ECS, CloudWatch, version control. • Solid understanding of building and scaling distributed systems. • Python development experience (nice-to-have). • Previous startup or fast-growth company experience (nice-to-have). • Familiarity with compliance, finance, or enterprise SaaS (nice-to-have). • Must be located in the United States (Remote - USA only). Benefits: • Impact: Shape the core of an industry-transforming platform. • Growth: Work with modern technologies across multiple backends. • Culture: Collaborative, high-performing team with startup energy. • Remote-first: Flexibility to work from where you are most productive. • Compensation: Competitive package (~$110K) aligned with experience.