Human feedback and RLHF
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
For Chief AI Officers
AI training data and evaluation workforce for Chief AI Officers.
Build managed AI training data, model evaluation, human feedback, annotation, red teaming and expert-review teams for Chief AI Officers and AI leaders.
Start with the workforce problem, delivery gap or business outcome you need to solve.
AI leaders need people who can generate, judge, compare, challenge and validate model behavior—not just generic annotators.
Model evaluation
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
Domain-expert review
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
Multilingual evaluation
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
Red teaming and data operations
We define the business outcome, required experience, systems, working model and evidence of competence before recruiting for this capability.
Choose one specialist, a dedicated team or a managed workforce.
Hire one specialist when one role needs a clear owner. Build a dedicated team when several people need to work together. Use a managed workforce when you want Baaraku to help coordinate recruiting, team operations and quality around a larger program.
How Baaraku scopes, builds and supports the team.
Baaraku serves U.S., European and selected Middle East companies while operating delivery capacity in Nigeria. The delivery model is agreed around the team size, working hours, security requirements and level of management you want Baaraku to provide.
Common questions before building the team.
How large can the team be?
The engagement model can range from one specialist to a large dedicated or managed team. Final scale depends on role availability, ramp timeline, task design, management structure and client requirements.
Can Baaraku support AI-specific workforce programs?
Yes. Baaraku’s AI Workforce practice covers human feedback, evaluation, data annotation, domain review, red teaming and multilingual quality programs scoped to the client methodology.
Do you publish fixed enterprise pricing?
No. Enterprise and managed-team pricing is scoped around role mix, size, schedule, security, supervision and quality requirements. For standardized roles, ask us whether a current starting rate is available.
Build the workforce the work requires.
Tell us the outcome, team size, working model and timeline. We’ll help you define the right specialist, technical team or managed workforce.