For AI teams
Questions buyers ask us.
Short answers for teams evaluating a data partner. Anything not covered here — talk to our data team.
What types of data projects can you support?
Training data for post-training — SFT datasets, preference data, reasoning traces, expert demonstrations, instruction-following and domain-specific datasets. Evaluation — human evaluations, pairwise comparisons, rubric-based scoring, capability and failure-mode analysis, and red-teaming. If it needs expert human judgment and doesn't scale easily, it's in scope. Tell us the capability you're targeting and we'll tell you how we'd build the pipeline.
How do you qualify contributors?
Every contributor passes a capability-specific assessment before entering a project, and then completes project training and gold-standard calibration before touching production data. Screening is against the expertise a project actually requires — not a generic test.
How do you maintain quality?
Multi-stage review, adjudication, continuous contributor scoring and rework loops. Calibration against gold-standard tasks keeps the bar defined, not aspirational. Underperformers are re-calibrated or removed; consistent high performers are expanded.
How quickly can you deploy a team?
Scoping happens in days, and team deployment timelines depend on the expertise required and the calibration bar. Typical ramp times are agreed up front per project — ask in your inquiry and we'll give you a concrete number for your case.
Can you build domain-specific teams?
Yes. Our network is being built across software engineering, mathematics, physics, computer science, biology, chemistry, finance, economics, law, medicine, languages and research. If the task requires expertise, we build the workforce around it.
How do you handle sensitive data?
Project-level access controls, data segregation between projects, contributor confidentiality agreements and secure private storage. Unreleased models, prompts and training data are handled under NDA with deletion on completion or request. See our Security page for the full picture.
Can workflows be customized?
Yes — workflows, tooling, review chains and deliverable formats are shaped around your pipeline and quality thresholds. We don't force projects into a fixed workflow.
What scales can you support?
From focused expert teams for specialist work to large-volume delivery with thousands of tasks per week. Throughput is expanded by adding qualified contributors, never by lowering the quality bar.
Can you work under NDA?
Yes. Standard and custom NDAs are routine, and we regularly run projects where material is visible only to cleared, calibrated contributors.
Still deciding?
Send us the problem. We'll show you how we'd build the solution.
Or email us directly at hello@synthiumlabs.com
Talk to our data team