Terac

Terac

Terac is an expert marketplace that connects verified domain experts (doctors, engineers, accountants, researchers, etc.) with paid, remote projects from market research firms, human data companies, and AI labs — offering matched engagements, vetted screening, and payment for expert contributions.

Terac is product teams software teams evaluate for education & research. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Contact for pricing API 70/100
One of 146 tools in Recruitment & HR
Added 1 year ago
Data reviewed Jul 15, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Education & Research

What it does

Product teams software for decision-makers comparing workflow fit and alternatives.

Best fit

Education & Research

Pricing snapshot

Contact for pricing

Next step

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Terac is a marketplace and community that recruits, vets, and matches verified domain experts with paid remote projects from market research firms, human data companies, and frontier AI labs. The platform emphasizes precise, reviewable expert work — interviews, surveys, product feedback, and AI output review — and routes projects to professionals based on their background and availability. Terac presents an onboarding flow (apply, get matched, contribute, get paid), highlights community and founder support, and positions expert labor as the core resource for research and AI evaluation.

Terac lets you run hundreds of AI-moderated interviews in parallel to get customer insights in hours, not months. Instead of manually scheduling calls, sending out static surveys, or paying a firm to take weeks, you can deploy dynamic, voice-based interviews at scale and extract structured answers instantly. It’s the fastest way for product, research, and innovation teams to understand users, test ideas, and explore markets. We see a future where companies will be fully automated. The bottleneck for this will be an autonomous system not understanding the market or its customers.

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Key Features

Expert recruitment & vetting

Terac sources and verifies domain experts across many professions and requires applicants to share backgrounds and complete an AI assessment; high-performing experts receive ongoing opportunities.

Matching marketplace

Projects are matched to experts based on background and skills; the platform routes engagements to appropriate experts and defines payment terms upfront.

AI interview / assessment

A short conversational AI interview adapts to applicants' backgrounds to screen expertise; the site states responses are not sold or used to train customer AI models.

Paid, scoped engagements

Engagements are remote, paid, and clearly scoped with upfront payment terms; the site shows sample average pay and examples of payouts.

Referral program

The site supports referrals: users can activate a referral link from a job listing and may be eligible for referral bonuses when referred experts are approved and start work.

Enterprise & research integrations

Site navigation and product copy reference integrations with market research companies, human data companies, and AI labs; developer docs and APIs are referenced in site navigation.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Market research (interviews, surveys, product feedback)

Market research companies hire experts to share domain knowledge through interviews, surveys, and product feedback grounded in professional experience.

AI evaluation and human data work

Human data companies and AI labs engage experts to review AI outputs, define expert-level standards, and handle specialized cases requiring domain expertise.

Academic and user research support

Researchers and academic projects can source verified domain experts for studies, interviews, and data collection across disciplines.

Short-term consulting and advisory

Professionals contribute time-limited expertise (interviews, reviews) on a flexible schedule and are paid per engagement.

Integrations

Terac API / Developer Docs

Site navigation references 'Terac APIS' and 'Developer Docs', indicating programmatic integration and developer-focused documentation on the platform.

Research and AI buyers

Terac integrates with market research companies, human data companies, and frontier AI labs as buyers of expert labor.

Benefits

Flexible, remote paid work that fits professionals' schedules.
Clear scope and upfront payment terms so experts know compensation before committing.
Access to a wide range of research and AI projects from reputable buyers (market research firms, AI labs).
Platform emphasizes fair pay and no middleman taking a cut of experts' time.
Community support with founder/team engagement and feedback for experts.

Limitations

Applicants must complete a vetting process and a short AI assessment to be accepted.
Minimum qualifications typically require undergraduate-level expertise; many projects require significant professional experience or advanced degrees.
Project durations and availability vary; work can range from a few weeks to months and is not guaranteed ongoing employment.
Compensation varies by project, complexity, and demand — pay is not fixed and depends on role and buyer.

Frequently Asked Questions

What is Terac?
Terac is an expert marketplace that connects verified domain experts to paid work from market research companies and human data companies (including frontier AI labs). Experts are sourced once, vetted thoroughly, and matched to engagements across both sides of the marketplace.
What is the work?
Remote, paid work grounded in your professional background. Market research companies pay experts to share expertise in interviews, surveys, and product feedback. Human data companies and AI labs pay experts to review AI outputs, set the bar for expert-level work, and tackle specialized cases.
What does the application process look like?
Share your background and complete a short AI assessment. If it is a fit, Terac follows up and matches you to projects aligned with your skills. No prior AI experience required.
What is the AI interview?
A short conversational screen that adapts to your background and asks questions relevant to your field so Terac can accurately assess your expertise. Responses are not sold and are not used to train customer AI models.
How much do I get paid?
Compensation depends on your expertise, the complexity of the project, and demand for the role. Projects are clearly scoped and payment terms are defined upfront. High-performing experts are invited to ongoing opportunities.
What qualifications do I need?
Terac works with professionals across many domains. Minimum qualifications typically require undergraduate-level expertise; many projects require years of professional experience or an advanced degree in the relevant domain.
How long do projects last?
Project length varies; the range is weeks to months. Projects can be extended, shortened, or concluded early depending on need and performance.
Can I refer friends or colleagues?
Yes. You can activate a referral link from a job listing and share it directly. If your referral is approved and begins working on a project, you may be eligible for a referral bonus.

Getting Started

  1. 1 Step 1: Apply — create your profile and tell Terac about your expertise.
  2. 2 Step 2: Complete screening — complete the short AI assessment / conversational screen to verify expertise.
  3. 3 Step 3: Get matched — Terac connects you with projects aligned to your background.
  4. 4 Step 4: Contribute & get paid — complete tasks or interviews and receive payment once work is verified.

Support

email

Primary support contact is [email protected] (listed in the FAQs).

docs

Site navigation references Expert Docs, Researcher Docs, Developer Docs, and a Help Center for product and onboarding guidance.

demo / sales

'Book a demo' is available on the site for prospective customers or experts seeking a walkthrough.

API

Available: Yes
Documentation:

Developer Docs / Terac APIs (referenced in site navigation; developer documentation available on the site).

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