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Everything you need to know.
Quick answers to the questions we hear most often, from candidates and companies alike.
What types of AI talents can Dataloka provide?
We supply vetted professionals across various specialized domains, including data & video annotators, RLHF evaluators, egocentric video collectors, coding evaluators, math reasoning experts (PhD/Masters), domain experts (Legal, Medical, Finance), and senior AI software contractors.
How does Dataloka ensure the quality and accuracy of the talent?
Every professional in our network undergoes a rigorous screening process, including domain-specific skill assessments, background verification, and continuous quality checks to ensure your dataset and evaluation standards are met.
Is our data secure when working with Dataloka talents?
Yes. We prioritize data privacy and compliance. All workforce engagements can be protected under strict Non-Disclosure Agreements (NDAs) and custom security protocols tailored to your enterprise requirements.
How fast can we scale or onboard talent for our project?
For most standard profiles, we can provide a shortlist within 3–7 business days. For specialist roles (medical, legal, highly technical) or large-scale staffing, allow 1–2 weeks for a full-quality shortlist. Our managed service model can also embed a vetted contributor team within your workflow for ongoing projects.
What makes dataloka different from Appen, Scale AI, or similar platforms?
We are a network and connector, not a platform with our own projects. We match contributors to opportunities across a broad range of AI labs, research platforms, and enterprise AI teams. We're also differentiated by our focus on the Global South and underrepresented contributor pools, and our strict no-fees-for-candidates policy. We don't just list jobs. We actively advocate for the contributors in our network.
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