Braintrust

The Fastest Way to Staff and Vet Talent For AI Training

Q: What is “Human Data”?

Human data refers to information that has been reviewed, labeled, or generated by real people to help train, validate, or improve artificial intelligence (AI) systems. AI models learn from examples — such as tagged images, transcribed audio, or categorized text — and humans play a critical role in ensuring that this data is accurate, relevant, and contextually sound.

Q: Who are Human Data Annotators?

Human data annotators are trained professionals who review and label raw data (like text, images, or videos) so that AI systems can recognize patterns and make accurate predictions. Annotators may tag objects in photos, classify customer feedback, or verify language translations — tasks that require human judgment, nuance, and cultural understanding.

Q: Why is human annotation important for AI training?

Even the most advanced AI models depend on high-quality human input to understand complex, subjective, or ambiguous content. Without accurate annotations, models can develop biases, make poor predictions, or fail in real-world applications. Human oversight ensures that the data AI learns from is diverse, unbiased, and representative of real human experiences.

Q: What does Braintrust’s “Human Data” solution provide?

Braintrust offers a scalable way to source, vet, and manage human annotators for AI and data operations. Clients can: Access top-tier talent for labeling and validation projects. Use Braintrust AIR (AI Recruiter) to assess and score annotators automatically. Combine both services for end-to-end management of human data workflows — from recruiting and evaluation to delivery and quality assurance.

Q: How is Braintrust different from other crowd-sourcing or data-labeling platforms?

Unlike opaque platforms that offer little visibility into who performs the work or how it’s validated, Braintrust combines transparency, quality, and speed: Verified contributors with domain expertise (not anonymous crowds). AI-generated scorecards and interview transcripts for every candidate. Projects staffed and ready to launch in under 72 hours. Modular tools that integrate directly into your ATS or workflow — you keep full control and data ownership.

Q: What kinds of data annotation work can Braintrust support?

Braintrust supports a wide range of human-in-the-loop workflows, including: Image, video, and audio labeling Text classification and entity recognition Multilingual translation and quality assurance Sentiment and content moderation Domain-specific annotations (healthcare, finance, legal, retail, etc.) Model evaluation and reinforcement learning with human feedback (RLHF)

Q: How does Braintrust vet and assess annotators?

Annotators are screened through AI-powered interviews and skill assessments using Braintrust AIR. Each candidate’s performance is scored across criteria like accuracy, comprehension, and consistency. Hiring teams can review detailed transcripts and scorecards before onboarding — ensuring the best match for their data pipeline needs.

Q: What is “Human-in-the-Loop” and why does it matter?

“Human-in-the-Loop” (HITL) refers to AI workflows where humans continuously evaluate and improve machine output. Rather than replacing people, it leverages human judgment to make AI smarter and safer. HITL systems are critical for training large language models (LLMs), recommendation engines, chatbots, and other systems that require contextual understanding or ethical oversight.

Q: What are the implications of working with human data at scale?

Scaling human data work requires balancing efficiency, quality, and ethics. It involves: Ensuring data privacy and compliance (especially in regulated industries). Managing distributed teams securely and fairly. Avoiding annotation bias through diverse contributor pools. Maintaining transparency about how human input shapes AI decisions. Braintrust helps organizations manage these complexities responsibly while accelerating time to production.

Q: How fast can a project launch using Braintrust Human Data?

Most projects start seeing candidate submissions within 24 hours and can launch in under 72 hours. This rapid turnaround is enabled by Braintrust’s 2-million-member global talent network and its AI-driven matching system.

Whether you need expert annotators on demand or want to vet your own contributor pipeline at scale, Braintrust helps you scale your human data labeling team in hours— not weeks.

Book a call See our talent

The Fastest Way to Staff and Vet Talent For AI Training

Three Ways to Scale
High-Quality Human Data Work

We Deliver the People

Tell us what you need. We deliver AIR-verified experts fast.

Learn more

Vet your experts with AI assessments

Want to vet your own contributor pipeline? Use AIR to instantly assess thousands of candidates in parallel.

Learn more

Combo: The Best of Both

Ramp projects with Braintrust talent while using AIR to vet your own.

Learn more

We Deliver the People

Tell us what you need. We deliver AIR-verified experts fast.

Book a call

First candidates in <24h; project kickoff in <72h.

Roles include:

Labelers & Annotators (Image/audio/text tagging)
Evaluation Contributors (AI evaluation)
QA Reviewers, Task Leads, and more

Common workflows span:

LLM evaluation
Multilingual translation & validation
Content QA / moderation
Domain-specific labeling (e.g., healthcare, finance, legal, software)

+25,000 contributors in the past 18 months

For a leading data labeling vendor, we placed over 25,000 contributors in the past 18 months, scaling to thousands/month to support high-volume multilingual and compliance-heavy pipelines.

Unlike closed platforms with hidden metrics, Braintrust gives you full visibility into who you're hiring — and how they perform.

See our talent

Vet your experts with AI assessments

Want to vet your own contributor pipeline? Use AIR to instantly assess thousands of candidates in parallel.

Book a call

AI live/technical interview tailored to each role

Auto-scored with scorecards and full transcripts

Works via dashboard, API, or ATS integration — fast to start, flexible to scale

Use with your own contributor pool, job board traffic, or referrals

Power 10,000+ candidate assessments/month

For a leading AI Training Data vendor, AIR powered 10,000+ candidate assessments/month, enabling them to onboard over 4,000+ fully vetted contributors/month into live client projects.

Most vetting tools stop at a score. We give you explainability — every score is backed by a transcript and audit trail.

Try an interview for yourself

Combo: The Best of Both

Ramp projects with Braintrust talent while using AIR to vet your own.

Book a call

Use our vetted experts to start fast

Use AIR internally to automate and scale screening

Combine delivery + automation for speed, consistency, and margin

We help launch full-service projects in < 3 days

For a leading data labeling vendor, we helped them launch full-service projects in <3 days while simultaneously running AIR-based assessments around the clock to screen thousands of internal contributors.

Most platforms lock you into their contributors or tools.
Braintrust gives you both flexibility and speed — at scale.

Try an interview for yourself

“We did multiple pilots. We were looking to test the validity of the AI tool itself. We tested others. I shut one down after three days. AIR was just that good.”
“The candidate experience is number one — and with AIR, recruiters just set it up and share the link. That simplicity is valuable.”
“We've been looking for any solution that would help us battle fake candidates and figure out where to focus our time. Braintrust AIR is the best product on the market we've seen.”
“Best AI recruiting software.”
“The goal was to prove it worked and there was a clear ROI with Braintrust. We proved that in just 2 weeks.”
“I can’t live without it.”
“Braintrust not only streamlined our pre-screening workflow but also enhanced the quality of insights we gather at the earliest stages. Highly recommend to any teams looking to modernize their interview process.”
“Having analyzed dozen of recruiting tools over the past two years, I can confidently say that Braintrust represents something different that helps recruiters make faster, more informed decisions about which candidates to advance.”

Why Braintrust Wins on Time-to-Quality

What You Usually Get

Sourcing

2M+ network + curated,
tiered cohorts

Black-box crowd platforms or slow staffing firms

Vetting

AI-generated scorecards + full transcripts

Resume screens or opaque rating systems

Speed

<72h from request to go-live

2–6 weeks to kickoff

Control

Modular tools you can use anywhere

Locked-in platforms with no data access

Book a call

Frequently Asked Questions

Dig deeper into the benefits, and characteristics of Braintrust Human Data.

Book a call

What is “Human Data”? +

Human data refers to information that has been reviewed, labeled, or generated by real people to help train, validate, or improve artificial intelligence (AI) systems. AI models learn from examples — such as tagged images, transcribed audio, or categorized text — and humans play a critical role in ensuring that this data is accurate, relevant, and contextually sound.

Who are Human Data Annotators? +

Human data annotators are trained professionals who review and label raw data (like text, images, or videos) so that AI systems can recognize patterns and make accurate predictions. Annotators may tag objects in photos, classify customer feedback, or verify language translations — tasks that require human judgment, nuance, and cultural understanding.

Why is human annotation important for AI training? +

Even the most advanced AI models depend on high-quality human input to understand complex, subjective, or ambiguous content. Without accurate annotations, models can develop biases, make poor predictions, or fail in real-world applications. Human oversight ensures that the data AI learns from is diverse, unbiased, and representative of real human experiences.

What does Braintrust’s “Human Data” solution provide? +

Braintrust offers a scalable way to source, vet, and manage human annotators for AI and data operations. Clients can:

Access top-tier talent for labeling and validation projects.
Use Braintrust AIR (AI Recruiter) to assess and score annotators automatically.
Combine both services for end-to-end management of human data workflows — from recruiting and evaluation to delivery and quality assurance.

How is Braintrust different from other crowd-sourcing or data-labeling platforms? +

Unlike opaque platforms that offer little visibility into who performs the work or how it’s validated, Braintrust combines transparency, quality, and speed:

Verified contributors with domain expertise (not anonymous crowds).
AI-generated scorecards and interview transcripts for every candidate.
Projects staffed and ready to launch in under 72 hours.
Modular tools that integrate directly into your ATS or workflow — you keep full control and data ownership.

What kinds of data annotation work can Braintrust support? +

Braintrust supports a wide range of human-in-the-loop workflows, including:

Image, video, and audio labeling
Text classification and entity recognition
Multilingual translation and quality assurance
Sentiment and content moderation
Domain-specific annotations (healthcare, finance, legal, retail, etc.)

Model evaluation and reinforcement learning with human feedback (RLHF)

How does Braintrust vet and assess annotators? +

Annotators are screened through AI-powered interviews and skill assessments using Braintrust AIR. Each candidate’s performance is scored across criteria like accuracy, comprehension, and consistency. Hiring teams can review detailed transcripts and scorecards before onboarding — ensuring the best match for their data pipeline needs.

What is “Human-in-the-Loop” and why does it matter? +

“Human-in-the-Loop” (HITL) refers to AI workflows where humans continuously evaluate and improve machine output. Rather than replacing people, it leverages human judgment to make AI smarter and safer. HITL systems are critical for training large language models (LLMs), recommendation engines, chatbots, and other systems that require contextual understanding or ethical oversight.

What are the implications of working with human data at scale? +

Scaling human data work requires balancing efficiency, quality, and ethics. It involves:

Ensuring data privacy and compliance (especially in regulated industries).
Managing distributed teams securely and fairly.
Avoiding annotation bias through diverse contributor pools.
Maintaining transparency about how human input shapes AI decisions.
Braintrust helps organizations manage these complexities responsibly while accelerating time to production.

How fast can a project launch using Braintrust Human Data? +

Can we use Braintrust AIR to vet our own internal contributors? +

Yes. Braintrust AIR can be deployed as a standalone tool to evaluate your in-house or vendor-provided annotators. You can run assessments, review AI-generated scorecards, and maintain centralized visibility over performance — even if the workers aren’t sourced directly from Braintrust.

What industries benefit most from Human Data solutions? +

Virtually any sector using AI can benefit, including:

Technology and AI labs (for model training and evaluation)
Healthcare and life sciences (for clinical data labeling and compliance)
Retail and e-commerce (for product tagging and personalization)
Financial services (for fraud detection and sentiment analysis)
Legal, security, and government (for sensitive document review and classification)

Is data privacy maintained when outsourcing human data work? +

How does Braintrust ensure ethical and unbiased AI data practices? +

Braintrust prioritizes diversity in its contributor network, uses transparent vetting and feedback loops, and provides clients with control over annotation guidelines. This reduces bias and ensures that AI systems trained on Braintrust data reflect real-world perspectives and ethical standards.

How can I get started with Braintrust Human Data? +

The Fastest Way to Staff and Vet Talent For AI Training

Three Ways to Scale
High-Quality Human Data Work

We Deliver the People

Tell us what you need. We deliver AIR-verified experts fast.

+25,000 contributors in the past 18 months

Vet your experts with AI assessments

Want to vet your own contributor pipeline? Use AIR to instantly assess thousands of candidates in parallel.

Power 10,000+ candidate assessments/month

Combo: The Best of Both

Ramp projects with Braintrust talent while using AIR to vet your own.

We help launch full-service projects in < 3 days

Why Braintrust Wins on Time-to-Quality

What You Usually Get

Sourcing

2M+ network + curated,
tiered cohorts

Black-box crowd platforms or slow staffing firms

Vetting

AI-generated scorecards + full transcripts

Resume screens or opaque rating systems

Speed

<72h from request to go-live

2–6 weeks to kickoff

Control

Modular tools you can use anywhere

Locked-in platforms with no data access

Frequently Asked Questions

Go Live This Week. Pilot in 48h.

Marketplace

Resources

About

The Fastest Way to Staff and Vet Talent For AI Training

Three Ways to ScaleHigh-Quality Human Data Work

We Deliver the People

Tell us what you need. We deliver AIR-verified experts fast.

+25,000 contributors in the past 18 months

Vet your experts with AI assessments

Want to vet your own contributor pipeline? Use AIR to instantly assess thousands of candidates in parallel.

Power 10,000+ candidate assessments/month

Combo: The Best of Both

Ramp projects with Braintrust talent while using AIR to vet your own.

We help launch full-service projects in < 3 days

Why Braintrust Wins on Time-to-Quality

What You Usually Get

Sourcing

2M+ network + curated,tiered cohorts

Black-box crowd platforms or slow staffing firms

Vetting

AI-generated scorecards + full transcripts

Resume screens or opaque rating systems

Speed

<72h from request to go-live

2–6 weeks to kickoff

Control

Modular tools you can use anywhere

Locked-in platforms with no data access

Frequently Asked Questions

Go Live This Week. Pilot in 48h.

Marketplace

Resources

About

Three Ways to Scale
High-Quality Human Data Work

2M+ network + curated,
tiered cohorts