Why Terminal for Reinforcement Learning?
Terminal connects you with engineers experienced in reinforcement learning from human feedback (RLHF), specializing in code ability for large language models. Refine, align, and deploy LLMs for reliable, high-quality outputs faster with our flexible, cost-effective expert talent.
Expert talent
- Access the top 7% of engineers, all vetted and hand-picked for RLHF and LLM code ability
- Competent engineers that can provide high quality code examples and annotations, to generate more accurate, efficient, and readable code
Cost effective
- 40–60% savings compared to in-house teams or US-based contractors
- Choose project-based support or build a dedicated team for your LLM post-training and alignment needs
- Transparent pricing with no hidden fees
Flexible scalability
- Scale your RLHF teams up or down based on project requirements
- Quick onboarding within days, not months
- No long-term commitments or minimum engagements
How it works
Define project goals
Source team
Refining & labeling
We handle the rest
On-demand global talent
DevOps Engineer
5-10 Years Experience • Poland
- 3 years of Tech Led experience
- M.S. Degree in Computer Science
- Worked for Facebook
Python Developer
5–10 Years Experience • Mexico
- Skilled in multiple languages/frameworks
- 9 years of Tech Led experience
- Built 0 – 1 product
Fullstack Developer
5–10 Years Experience • Columbia
- 3 years of Tech Led experience
- Worked for Mercado Libre
- Skilled in multiple languages/frameworks
Have a specific skill in mind for training?
Select from our extensive labor pool.
Have questions?
We’ve got answers.
It’s the expertise in optimizing large language models using reinforcement learning from human feedback, with a focus on code generation and review.
LLM post-training refers to refining a language model after initial training, often using RLHF to improve accuracy and alignment with user needs.
LLM alignment ensures your model’s outputs match your business’s safety, ethical, and technical requirements.