Rise Data LabsDomain experts
Environmental AI Training Specialist
up to $40/hr
About this role, in Rise Data Labs' words
As an Environmental AI Training Specialist at Rise Data Labs, you will play a pivotal role in enhancing AI models through expert data annotation and analysis within the environmental science domain. Your insights will help us train and improve AI systems, ensuring they are equipped with accurate and high-quality data tailored to various environmental applications.
What you'll do
Key Responsibilities
- Train and enhance AI models by performing data annotation and labeling specific to environmental science.
- Review and validate AI-generated content for accuracy, relevance, and adherence to environmental standards.
- Provide domain expertise to enhance AI model performance, ensuring that models reflect current environmental knowledge and practices.
Show all 5 itemsHide the other 2 in Key Responsibilities
- Contribute to a variety of AI training projects across different sectors within environmental science.
- Ensure high-quality data for machine learning applications, maintaining rigorous quality assurance standards.
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 Environmental AI Training Specialist at Rise Data Labs, you will play a pivotal role in enhancing AI models through expert data annotation and analysis within the environmental science domain. Your insights will help us train and improve AI systems, ensuring they are equipped with accurate and high-quality data tailored to various environmental applications.
Key Responsibilities
• Train and enhance AI models by performing data annotation and labeling specific to environmental science.
• Review and validate AI-generated content for accuracy, relevance, and adherence to environmental standards.
• Provide domain expertise to enhance AI model performance, ensuring that models reflect current environmental knowledge and practices.
• Contribute to a variety of AI training projects across different sectors within environmental science.
• Ensure high-quality data for machine learning applications, maintaining rigorous quality assurance standards.
Required Skills and Qualifications
• Bachelor’s degree in Environmental Science, Ecology, or a related field.
• Strong understanding of environmental science concepts and current trends.
• Experience in data annotation, labeling, or similar roles within AI training.
• Exceptional attention to detail and accuracy in data handling.
• Proficient in using data annotation tools and software.
Preferred Qualifications
• Experience working with AI and machine learning technologies.
• Familiarity with environmental data sets and regulatory frameworks.
• Strong analytical and critical thinking skills.
• Excellent communication skills and ability to work collaboratively.
What We Offer
At Rise Data Labs, we value our team members and offer a supportive work environment that fosters growth and innovation. You will have the opportunity to work on diverse projects, collaborate with talented professionals, and contribute to impactful AI solutions in the environmental sector. We also provide competitive compensation, flexible work arrangements, and opportunities for professional development.
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 Domain experts 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: Domain experts
Across 692 roles in this field with a stated hourly rate in US dollars, on 18 platforms, the middle half pays $65 to $130 an hour at the top of the range, and the median is $100. This role's top rate, $40, is in the bottom quarter. Of the 259 distinct rates we count, 17 are lower and 236 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 149 | $24 to $200 · median $80 |
| micro1 | 130 | $28 to $400 · median $110 |
| AfterQuery | 88 | $45 to $175 · median $100 |
| Handshake AI | 79 | $30 to $300 · median $85 |
| Mercor | 78 | $55 to $450 · median $120 |
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
- d2e01c3c-ebbc-4cab-9292-05ba6c660d62
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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