Job description
Join Our Global TrainAI Talent Pool!
Are you passionate about Artificial Intelligence and eager to contribute to innovative projects? We are building a global talent network for individuals interested in AI-related roles. Whether you have experience in data annotation, machine learning, research, or AI-driven product development, we'd love to have you on board!
What We Offer:
Paid opportunities to work on cutting-edge AI projects.
Flexible and remote work.
Continuous learning and development opportunities in the AI space.
Typical tasks we need talent for:
Data annotation and labeling
AI model training and evaluation
Linguistics, content moderation, or other AI-fields
How to Apply:
Submit your application, and we'll reach out when an opportunity that matches your skills and interests becomes available!
Vendor Type
When applying, please select the option that best describes your working status.
Are you a Freelancer or Private Individual?
A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.