G2i Inc.

Frontend Engineer

• Help train large language models (LLMs) to write production-grade code
• Compare and rank multiple code snippets
• Repair and refactor AI-generated code for correctness, efficiency, and style
• Inject feedback into the RLHF pipeline

Software Engineer, AI – TypeScript

Backend Engineer

• 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.

Software Engineer, AI, Rust

Software Engineer, AI – Python

• Help train large language models (LLMs) to write production-grade code
• Compare and rank multiple code snippets
• Repair and refactor AI-generated code for correctness, efficiency, and style
• Inject feedback into the RLHF pipeline and keep it running smoothly

Software Engineer, AI – Java

Full-stack Engineer

• 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

Software Engineer, AI – Go

Data Engineer

• Build AI workflows for RFP intake, document parsing, extraction, and qualification
• Create RAG and semantic search pipelines over RFP documents
• Extract structured data like due dates, project scope, contacts, requirements, and submission instructions
• Develop FastAPI services and backend APIs
• Build human review and approval workflows
• Improve reliability, testing, observability, and AI quality

Senior AI/Data Engineer

• Design and build the coding benchmarks and evaluation pipelines used to test frontier AI models on real software engineering work:
• Design coding benchmarks that evaluate frontier models on real-world programming tasks — reasoning, debugging, and production-quality code
• Build and maintain scalable data pipelines for evaluation workflows
• Analyze model-generated code for correctness, reliability, and edge-case failures
• Construct structured evaluation scenarios across large repos and multi-language environments
• Provide detailed technical feedback on model performance and failure patterns
• Contribute to evaluation frameworks that set the bar for how coding ability is measured
• End result: benchmarks that meaningfully separate what frontier models can and can't do — and shape how the next generation is trained and improved.
• AI coding evaluation in one line: Design task → build harness → run model → analyze failures → feed findings back into the benchmark → evaluations that actually distinguish strong models from weak ones.

Senior Software Engineer – AI Evaluation & Benchmarks, Python

Software Engineer

• Support active recruiting projects for major AI/RLHF clients
• Help manage G2i pipeline, inbound applications, sourcing, and testing coordination
• Conduct intro and screening meetings with developers when necessary
• Run candidate-facing campaigns: onboarding, ID checks, contract signing, deactivations, reactivations
• Assist with developer onboarding for new contracts and project ramp-ups
• Help build and maintain talent pools and shortlists for recurring client needs
• Manage multi-channel communications across Slack, LinkedIn, WhatsApp, and email
• Run shared inboxes — triaging, drafting replies, escalating thoughtfully
• Run campaigns via outreach tools to several members at a time
• Help plan, promote, host, and follow up on community events: AMAs, Happy Hours, developer sessions, hackathons
• Build and maintain a speaker pipeline
• Welcome new Slack members and keep community channels warm and responsive
• Support and come up with more community initiatives
• Maintain documentation, FAQs, and shared resources with strong attention to detail
• Update Canva assets and templates
• Create and refine processes that prevent errors and improve efficiency
• Support special projects end-to-end

Community & Developer Ops Coordinator

Security Engineer

• Probe and stress-test AI-powered applications, APIs, and infrastructure
• Run penetration tests against AI apps, APIs, and infrastructure
• Hunt AI/ML-specific attack surfaces
• Perform web application, network, and API security assessments
• Document findings in clear, structured reports

Cybersecurity Penetration Testing Expert – AI Security

• 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

AI Evaluator

Senior Engineer – AI Evaluator

Robotics

• Design, build, and iterate on MuJoCo simulation environments for robotics research and AI training
• Implement and tune RL algorithms (PPO, SAC, TD3) to train agents on simulated tasks
• Define reward functions, observation spaces, and action spaces that produce robust, transferable policies
• Debug and optimize physics simulations — contact models, actuator dynamics, scene configs
• Evaluate trained policies for stability, generalization, and sim-to-real transfer potential
• Document environment specs, training procedures, and experimental results clearly
• Collaborate async with research teams and stay current with advances in robot learning and embodied AI

Robotics ML Expert, AI

• Help train large language models (LLMs) to write production-grade code
• Compare and rank code snippets
• Repair and refactor AI-generated code
• Inject feedback into the RLHF pipeline

Software Engineer, Rust – AI

Software Engineer, Java – AI

Artificial Intelligence

• Help train and evaluate AI models that perceive, interpret, and understand the visual world — from image recognition and object detection to segmentation and visual reasoning
• Evaluate AI-generated outputs on image recognition, object detection, segmentation, and visual reasoning tasks
• Assess the quality, accuracy, and robustness of computer vision model predictions
• Identify failure modes, edge cases, and biases in visual AI systems
• Create, review, and refine training data annotations for CV pipelines
• Write detailed technical evaluations and suggest concrete improvements
• Work across diverse visual domains — natural images, medical imaging, autonomous systems, document understanding