The human layer of artificial intelligence.
Finiks supplies the people behind better models — trained taskers for AI companies that need annotation, evaluation and preference data, plus AI adoption programs for teams that need to work faster.
AI companies post a project
Annotation, RLHF, evaluation, red-teaming — scoped with your quality bar and deadline.
Finiks scopes and staffs it
We run it as a managed team, or open it to our vetted tasker pool — whichever fits the work.
Taskers do the work, and get paid
Trained contributors take on tasks remotely, with QA review before anything ships back.
Whichever side of AI you're on.
Companies building models, companies adopting them, and the people who make both possible.
Training data & evaluation
Human annotation, preference ranking, model evaluation and red-teaming — delivered by managed teams or sourced from our tasker pool.
See data services →AI adoption & training
Hands-on programs that take your team from AI-curious to AI-capable, built around the tools and workflows you already use.
See adoption programs →Get paid to train AI
Remote, flexible task work for AI projects — annotation, evaluation, writing and domain expertise. No experience required to apply.
Find AI work →The training data work, handled.
Post a project and we scope it with you — task type, volume, quality bar, timeline. Then we put trained people on it.
Data annotation
Image, video, text and audio labeling to your schema — including complex multi-pass taxonomies.
RLHF & preference data
Response ranking, comparison judgments and rationale writing for reward-model training.
Model evaluation
Structured human scoring against your rubric, with inter-rater agreement tracked throughout.
Red-teaming
Adversarial probing to surface failure modes, unsafe outputs and jailbreak paths before release.
Prompt & instruction data
Written prompts, demonstrations and instruction-following examples across task families.
Domain expert Q&A
Specialist-written questions and answers where general contributors can't reach the quality bar.
Speech & audio
Transcription, diarization, accent and language coverage, and audio quality judgments.
Video & egocentric
Temporal segmentation, action labeling and frame-level annotation for video-native models.
Agency when you want it done. Marketplace when you want it staffed.
Every project starts with the same enquiry. We recommend the model that fits your scope, quality bar and budget — you choose.
We run the project end to end
You hand over the spec. We assemble the team, train them on your guidelines, run QA, and deliver finished data on schedule.
- Dedicated project lead as your single point of contact
- Contributors trained and calibrated on your rubric before production
- Multi-pass QA with agreement scoring and gold-standard checks
- You receive reviewed output — not raw task submissions
- Best for: sensitive data, complex taxonomies, tight quality bars
We staff it, you direct it
We open your project to vetted taskers matched on skill, language and domain. You keep control of the workflow and tooling.
- Access to contributors already screened and rated by Finiks
- Matched on language, domain expertise and past task performance
- Scale contributor count up or down as volume changes
- Work inside your platform, or ours
- Best for: high volume, ongoing pipelines, flexible ramp-up
Four steps, whichever model you pick.
Same sequence for every project — the pace and scale adjust, the steps don't.
Enquire
Tell us the task type, rough volume and timeline. We come back within one business day.
Scope
We agree the guidelines, quality bar, NDA and delivery model on a short call, then quote.
Staff & calibrate
Contributors are matched, trained on your rubric and calibrated against gold-standard examples.
Deliver
Work ships in batches with QA metrics attached, so you can review quality as it lands.
Training data is only useful if you can trust it.
Every contributor is screened before production work, and every project runs under signed confidentiality terms.
Screened and rated contributors
Taskers pass a skills assessment for their task family before they touch client work, and carry a performance rating across projects.
Calibration before production
Contributors work through gold-standard examples against your rubric until agreement clears the threshold you set.
QA layered on top
Review passes, spot audits and inter-rater agreement scoring — with metrics delivered alongside the data.
NDA and data handling
Signed confidentiality on every engagement, contributor-level NDAs, and access scoped to the project only.
We also train your team to work with AI.
Our original practice, unchanged: hands-on programs that move a company from AI-curious to AI-capable, built around your actual tools and workflows rather than a generic curriculum. Enrollment starts with the same short form — pick a program, we scope it on a free 30-minute call, and your team gets a private portal to track the engagement.
AI Strategy & Roadmapping
We audit your current workflows and tools, then build a prioritized roadmap for where AI actually moves the needle.
Team Training & Enablement
Live, role-specific workshops that take your team from "heard of ChatGPT" to using AI confidently in daily work.
Workflow Integration
We embed AI tools directly into your existing systems and processes, so adoption doesn't depend on willpower.
Looking for AI work instead?
Finiks is onboarding taskers for annotation, evaluation, writing and domain-expert projects. Remote, flexible, and open to applicants without prior AI experience.
Answered upfront.
Can't find what you're looking for? Post an enquiry and we'll answer directly.
We take pilots as well as ongoing pipelines. Tell us the volume in the enquiry and we'll say honestly whether we're the right fit for it.
Managed suits sensitive data, complex guidelines and hard quality bars. Talent pool suits high volume and flexible ramp-up where you already have tooling and workflow. We recommend one at scoping; the choice stays yours.
Signed confidentiality terms on every engagement, contributor-level NDAs, and access scoped strictly to the project. We can work inside your platform if your data can't leave it.
Calibration against gold-standard examples before production, then review passes, spot audits and inter-rater agreement scoring during it. Metrics ship with the data.
Pricing depends on task complexity, volume and turnaround, so we quote after scoping rather than guessing at a number that won't fit your project.
No. Most teams we work with are starting from zero. We meet your team at whatever level they're at and build from there.
Most programs run 6–10 weeks from kickoff to a working rollout, depending on team size and how many workflows we're touching.
We work with small businesses through mid-size organizations. If you have a team using shared tools and workflows, we can help.
A 30-minute call where we learn about your current workflows and goals, then tell you honestly whether — and how — we can help. No pressure, no obligation.
Not for most task families. You take a short skills assessment for the type of work you're applying to, and we train you on each project's guidelines before you start.
Yes — the work is remote and task-based. You take on what fits your schedule, within each project's deadline.
Apply on the Find AI work page. We'll match you to open projects as they land.
Post a project.
Start with a short enquiry. If it's a fit, you'll go straight through to the full project brief.
Tell us what you need
Six fields. We reply within one business day.
Project brief
Optional, but the more you give us the sharper the quote. Skip anything you don't know yet.
Enquiry received
We'll come back to you within one business day at the email you gave us. If it's urgent, reach us at finiksgadgets@gmail.com.