Environmental AI Training Specialist
Rise Data LabsLegit · not rated yetPosted on 10 Sep 2025
Pay: $20–40/hr
- Who can apply
- Open worldwide
- Hours
- Hours vary · Contract
- Where
- Remote, work from home
- Job type
- Expert (SME) review
At a glance: A contract, remote expert (SME) review job with Rise Data Labs. It pays $20–40/hr, with hours that vary. People in any country can apply.
Ongoing · listed since 10 Sep 2025
Rise Data Labs keeps this listing open to recruit all year. It is still open, but it isn’t a new opening.
What happens after you click Apply
- You leave AI Trainer HQ and go to Rise Data Labs’s own site.
- Apply to a listing
- Assessment
- Onboarding
How this pay compares
This job pays more than 5% of the 204 other science (PhD) jobs on the board that state pay; 94% pay more.
- This job
- $30/hrMiddle of $20–40/hr
- Median on Rise Data Labs
- $30/hrFrom 62 other paid jobs
- Median in science (PhD)
- $65/hrFrom 204 other paid jobs
Requirements
- 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
- Experience working with AI and machine learning technologies
- Familiarity with environmental data sets and regulatory frameworks
- Strong analytical and critical thinking skills
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
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.
Also listed in: AD, AE, AF, AG, AI, AL, AM, AO, AR, AS, AT, AU, AW, AX, AZ, BA, BB, BD, BE, BF, BG, BH, BI, BJ, BL, BM, BN, BO, BQ, BR, BS, BT, BV, BW, BY, BZ, CA, CC, CD, CF, CG, CH, CI, CK, CL, CM, CN, CO, CR, CU, CV, CW, CX, CY, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ER, ES, ET, FI, FJ, FK, FM, FO, FR, GA, GB, GD, GE, GF, GG, GH, GI, GL, GM, GN, GP, GQ, GR, GS, GT, GU, GW, GY, HK, HM, HN, HR, HT, HU, ID, IE, IL, IM, IN, IO, IQ, IR, IS, IT, JE, JM, JO, JP, KE, KG, KH, KI, KM, KN, KP, KR, KW, KY, KZ, LA, LB, LC, LI, LK, LR, LS, LT, LU, LV, LY, MA, MC, MD, ME, MF, MG, MH, MK, ML, MM, MN, MO, MP, MQ, MR, MS, MT, MU, MV, MW, MX, MY, MZ, NA, NC, NE, NF, NG, NI, NL, NO, NP, NR, NU, NZ, OM, PA, PE, PF, PG, PH, PK, PL, PM, PN, PR, PS, PT, PW, PY, QA, RE, RO, RS, RU, RW, SA, SB, SC, SD, SE, SG, SH, SI, SJ, SK, SL, SM, SN, SO, SR, SS, ST, SV, SX, SY, SZ, TC, TD, TG, TH, TJ, TK, TL, TM, TN, TO, TR, TT, TV, TW, TZ, UA, UG, UM, US, UY, UZ, VA, VC, VE, VG, VI, VN, VU, WF, WS, XK, YE, YT, ZA, ZM, ZW. Rise Data Labs posts this role once per location. It is the same job, so we show it once.
Listing history
- First seen on our board
- (9 days ago)
- Posted by Rise Data Labs
- Last checked
- Source
- Rise Data Labs
We check every live job against its source at least every 24 hours. How we check jobs
