Rise Data LabsRating & model evaluation
AI Training Implementation Specialist
up to $40/hr
About this role, in Rise Data Labs' words
As an AI Training Implementation Specialist at Rise Data Labs, you will play a critical role in enhancing our AI models through meticulous data annotation and labeling. You will be responsible for reviewing and validating AI-generated content to ensure accuracy and relevance. Your domain expertise will be instrumental in driving the success of various AI training projects across multiple fields, contributing to high-quality data that powers machine learning applications.
What you'll do
Key Responsibilities
- Train and improve AI models through precise data annotation and labeling.
- Review and validate AI-generated content for accuracy and compliance with project specifications.
- Provide domain expertise to enhance AI model performance and reliability.
Show all 6 itemsHide the other 3 in Key Responsibilities
- Collaborate with cross-functional teams to ensure alignment with project goals and deliverables.
- Maintain high standards of quality assurance in data used for machine learning applications.
- Work on various AI training projects, adapting methodologies to meet diverse client needs.
Quoted from selected sections of Rise Data Labs' posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Rise Data Labs' words
Posted by Rise Data Labs, reproduced here so you can judge the role before clicking. Original posting ↗
About Rise Data Labs
Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.
Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.
At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.
Job Overview
As an AI Training Implementation Specialist at Rise Data Labs, you will play a critical role in enhancing our AI models through meticulous data annotation and labeling. You will be responsible for reviewing and validating AI-generated content to ensure accuracy and relevance. Your domain expertise will be instrumental in driving the success of various AI training projects across multiple fields, contributing to high-quality data that powers machine learning applications.
Key Responsibilities
• Train and improve AI models through precise data annotation and labeling.
• Review and validate AI-generated content for accuracy and compliance with project specifications.
• Provide domain expertise to enhance AI model performance and reliability.
• Collaborate with cross-functional teams to ensure alignment with project goals and deliverables.
• Maintain high standards of quality assurance in data used for machine learning applications.
• Work on various AI training projects, adapting methodologies to meet diverse client needs.
Required Skills and Qualifications
• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, or a related discipline).
• Proven experience in data annotation, data labeling, or a related area.
• Strong attention to detail and commitment to quality assurance.
• Ability to work independently and collaboratively in a team environment.
• Excellent analytical skills and problem-solving abilities.
• Familiarity with AI concepts and machine learning processes is a plus.
Preferred Qualifications
• Experience with specific AI tools and platforms for data annotation.
• Knowledge of programming languages such as Python or R.
• Prior experience in a fast-paced, agile work environment.
What We Offer
At Rise Data Labs, we foster a collaborative and innovative work environment. We offer competitive compensation, opportunities for professional growth, and the chance to work on cutting-edge AI projects that make a real impact. Join us and be part of a team that values creativity, quality, and excellence.
Working with Rise Data LabsPay, getting started and work, from Rise Data Labs' own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Paid weekly, with no minimums and no invoices. experts.risedatalabs.com
- Before your first paid task
- A meeting with the team or a short AI interview, then a short domain skills assessment before approval. It says most experts start a first paid project within the week. experts.risedatalabs.com
- How much work
- An interview or a project does not guarantee an offer or ongoing work. Its home page says there are no minimum hours, but some of its postings ask for at least 20 or 30 hours a week. risedatalabs.com/terms, experts.risedatalabs.com, experts.risedatalabs.com/jobs/quickbooks-expert-with-sale...
- Contract
- Contract work, under terms with Rise Tech Inc., doing business as Rise Data Labs. experts.risedatalabs.com/jobs/quickbooks-expert-with-sale..., risedatalabs.com/terms
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Rating & model evaluation roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Rise Data Labs's posting. How we count.
Pay across the field: Rating & model evaluation
Across 162 roles in this field with a stated hourly rate in US dollars, on 13 platforms, the middle half pays $30 to $65 an hour at the top of the range, and the median is $45. This role's top rate, $40, is in the middle half. Of the 48 distinct rates we count, 20 are lower and 25 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Meridial (Invisible) | 98 | $15 to $150 · median $50 |
| Rise Data Labs (this platform) | 14 | $40 to $50 · median $45 |
| micro1 | 10 | $15 to $150 · median $45 |
| Alignerr | 9 | $120 |
| Handshake AI | 7 | $15 to $200 · median $60 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 13 Sep 2026, and still on Rise Data Labs's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Rise Data Labs
- First seen by AIPayList
- Last seen live
- Listing ID
- 638f1e40-d609-4a8f-b7b1-3cf26dea79d5
Pay as the source states it: “Hourly Rate: $20 - $40 USD/hour”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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