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Rise Data Labs

AI training and annotation contributor platform · AI Training & Data Labeling

AI training and data annotation vendor whose public Expert Hub (experts.risedatalabs.com) recruits remote domain experts and multilingual annotators worldwide to build and evaluate models: reviewing…

AI Training & Data Labeling Verified Oct 2026Beginner to advanced

In one paragraph

Rise Data Labs pays for AI training — billed at an hourly or project rate, paid via methods it publishes on signup. Typical pay: hourly per role, wide spread - live listings ran from $5-$10/hr for entry image annotation, $15-$45 for coding and language roles, $30-$60 for nuclear-physics specialists and up to $150/hr for finance and QuickBooks experts, with a median near $30/hr across 80 rated openings. Available: Global - most listings say 'All countries welcome' and the hub markets '500k+. Minimum age 18 - Terms: 'You must be at least 18 years old and able to form a binding contract' (Terms last updated 2026-08-16).

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Quick facts

Rise Data Labs quick facts
FactDetail
CategoryAI Training & Data Labeling
Platform typeAI training and annotation contributor platform
Websiterisedatalabs.com
Pay unitHourly or project rate, Per task
Typical rateHourly per role, wide spread - live listings ran from $5-$10/hr for entry image annotation, $15-$45 for coding and language roles, $30-$60 for nuclear-physics specialists and up to $150/hr for finance and QuickBooks experts, with a median near $30/hr across 80 rated openings.
Payout methodsNot published on the official site
Payout cadenceWeekly
Minimum payoutNone - 'Weekly payouts, no minimums' per the official hub FAQ, with the payout method chosen during onboarding.
Minimum age18 - Terms: 'You must be at least 18 years old and able to form a binding contract' (Terms last updated 2026-08-16)
CountriesGlobal - most listings say 'All countries welcome' and the hub markets '500k+ vetted domain experts' worldwide; individual roles restrict by geography (US-only finance and accounting roles; US, Canada and 13 European countries for others; Latin America, Caribbean, Spain and Equatorial Guinea for Spanish-language roles). No restricted-country list is published.
LanguagesArabic, Bengali, German, English, Spanish, French, Hindi, Indonesian, Italian, Japanese, Korean, Dutch, Portuguese, Russian, Swedish, Tamil, Telugu, Turkish, Vietnamese, Chinese
EquipmentComputer, Stable internet
Experience neededBeginner to advanced
Identity verificationIdentity is checked through onboarding rather than at signup: the process is profile -> interview (may be asynchronous and recorded) -> 'verify your background' -> skills assessment, and the Terms require accurate identity information and reserve suspension for false details; no specific KYC vendor is named.
Last verified2026-10-22

Pros & cons — facts only

Pros

  • Rated beginner to advanced — open to newcomers.
  • Payout cadence: Weekly.
  • Publishes rate guidance: hourly per role, wide spread - live listings ran from $5-$10/hr for entry image annotation, $15-$45 for coding and language roles, $30-$60 for nuclear-physics specialists and up to $150/hr for finance and QuickBooks experts, with a median near $30/hr across 80 rated openings.

Cons

  • Reliability caution — read the "watch out for" FAQ before committing time.
  • Entry gated by qualification/identity checks.
  • Expert-tier expectations: rejections cost unpaid time.

How to join Rise Data Labs

  1. Create an Expert Hub profile with your domain and languages
  2. complete the AI or team interview (can be asynchronous and recorded)
  3. pass a short skills assessment in your field and the background verification
  4. get matched to projects
  5. work is approved by the client and paid weekly.

Signup involves: Sign up · Assessment interview · Skills assessment · Identity verification · Project matching

Pay & payouts

  • Typical rate: Hourly per role, wide spread - live listings ran from $5-$10/hr for entry image annotation, $15-$45 for coding and language roles, $30-$60 for nuclear-physics specialists and up to $150/hr for finance and QuickBooks experts, with a median near $30/hr across 80 rated openings.
  • Billed per: Hourly or project rate, Per task
  • Payout cadence: Weekly
  • Minimum payout: None - 'Weekly payouts, no minimums' per the official hub FAQ, with the payout method chosen during onboarding.

Requirements

Minimum age
18 - Terms: 'You must be at least 18 years old and able to form a binding contract' (Terms last updated 2026-08-16)
Languages
Arabic, Bengali, German, English, Spanish, French, Hindi, Indonesian, Italian, Japanese, Korean, Dutch, Portuguese, Russian, Swedish, Tamil, Telugu, Turkish, Vietnamese, Chinese
Identity verification
Identity is checked through onboarding rather than at signup: the process is profile -> interview (may be asynchronous and recorded) -> 'verify your background' -> skills assessment, and the Terms require accurate identity information and reserve suspension for false details; no specific KYC vendor is named.
Skills
Range-specific: entry annotators need careful, rubric-level judgement; STEM and professional roles (finance, accounting, journalism, government, healthcare, law, manufacturing) expect degree-level or professional expertise - 'Master's degree required; PhD strongly preferred' on many expert roles - plus coding ability (Python, JS, C++, C#, Java, SQL, Bash) for engineering roles and native-level writing for language roles.
Equipment
A computer with a stable internet connection is the practical baseline; some projects ask for a smartphone or camera for capture tasks, and interviews and some sessions are recorded or monitored. No formal equipment list is published.

What kind of work

  • AI training
  • Annotation
  • AI response evaluation
  • Prompt evaluation
  • Red teaming
  • Data collection
  • Domain expert consultation
  • Code review
  • Evaluation

AI-training task types

  • Prompt evaluation
  • AI response evaluation
  • Safety and preference ranking
  • Text classification
  • Image labeling
  • Video annotation
  • Audio annotation
  • Data collection
  • Code quality review
  • Domain expert review

Rise Data Labs FAQ

Is Rise Data Labs legit?

Yes — Rise Data Labs is a real, operating platform. We verified its signup, payout, and policy pages directly on 2026-10-22 using 16 sources.

What should I watch out for on Rise Data Labs?

A real but very young employer: Rise Tech Inc. (Delaware, operating from New York) was founded in 2025, the domain registered on 2025-09-01, and there is no Trustpilot or Glassdoor page at all. Weekly payouts and no minimums are official claims, but no page names the payment processor - AlignList's 'PayPal, direct deposit' is unverified and that same page mis-states the founding year, so confirm the rail before you start. Worker sentiment is mixed: several applicants report sitting 'under review' for weeks to months and roughly 88 of 116 listings have not changed since September 2025, while one worker landed a first paid project within two weeks and an AlignList reviewer reports consistent pay. Onboarding can include a recorded interview, background verification and monitored sessions, and RDL takes IP in everything you produce.

How much does Rise Data Labs pay?

Hourly per role, wide spread - live listings ran from $5-$10/hr for entry image annotation, $15-$45 for coding and language roles, $30-$60 for nuclear-physics specialists and up to $150/hr for finance and QuickBooks experts, with a median near $30/hr across 80 rated openings. Work is billed at an hourly or project rate, so earnings scale with volume and acceptance rates.

How does Rise Data Labs pay out?

payment method set up during onboarding (no provider named on the site). Payout cadence: Weekly. Minimum payout: None - 'Weekly payouts, no minimums' per the official hub FAQ, with the payout method chosen during onboarding.

Who can join Rise Data Labs?

Minimum age 18 - Terms: 'You must be at least 18 years old and able to form a binding contract' (Terms last updated 2026-08-16). Global - most listings say 'All countries welcome' and the hub markets '500k+ vetted domain experts' worldwide; individual roles restrict by geography (US-only finance and accounting roles; US, Canada and 13 European countries for others; Latin America, Caribbean, Spain and Equatorial Guinea for Spanish-language roles). No restricted-country list is published. Identity is checked through onboarding rather than at signup: the process is profile -> interview (may be asynchronous and recorded) -> 'verify your background' -> skills assessment, and the Terms require accurate identity information and reserve suspension for false details; no specific KYC vendor is named.

How do I sign up for Rise Data Labs?

Create an Expert Hub profile with your domain and languages → complete the AI or team interview (can be asynchronous and recorded) → pass a short skills assessment in your field and the background verification → get matched to projects → work is approved by the client and paid weekly.

Sources & verification

Facts on this page were verified against 16 sources. Last full check: .

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