Radiological Health AI 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 2% of the 126 other medicine & healthcare jobs on the board that state pay; 95% pay more.
- This job
- $30/hrMiddle of $20–40/hr
- Median on Rise Data Labs
- $30/hrFrom 62 other paid jobs
- Median in medicine & healthcare
- $93/hrFrom 126 other paid jobs
Requirements
- Qualifications
- Bachelor's degree in Radiological Health, Medical Imaging, or a related field
- Strong understanding of AI and machine learning principles
- Proficiency in data annotation tools and techniques
- Exceptional attention to detail and commitment to quality assurance
- Excellent communication skills for effective collaboration
- Experience in data annotation for AI training projects
- Advanced degree in a relevant field
- Familiarity with AI model evaluation metrics
- 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 a Radiological Health AI Specialist at Rise Data Labs, you will play a pivotal role in training and enhancing our AI models through precise data annotation and labeling. Your expertise will be essential in reviewing and validating AI-generated content for accuracy while providing domain-specific insights to elevate our AI performance across various projects.
Key Responsibilities
• Train and improve AI models through meticulous data annotation and labeling processes.
• Review and validate AI-generated content to ensure accuracy and reliability.
• Provide domain expertise in radiological health to enhance AI model performance.
• Collaborate with cross-functional teams on diverse AI training projects.
• Ensure high-quality data for machine learning applications, adhering to industry standards.
Required Skills and Qualifications
• Bachelor's degree in Radiological Health, Medical Imaging, or a related field.
• Strong understanding of AI and machine learning principles.
• Proficiency in data annotation tools and techniques.
• Exceptional attention to detail and commitment to quality assurance.
• Excellent communication skills for effective collaboration.
Preferred Qualifications
• Experience in data annotation for AI training projects.
• Advanced degree in a relevant field.
• Familiarity with AI model evaluation metrics.
• Previous experience working in a healthcare or radiological environment.
What We Offer
At Rise Data Labs, we value our team members and offer a competitive hourly rate, opportunities for professional growth, and a collaborative work environment.
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
