AI Engineer – Data Annotation (Remote)
Twine · United States
- Hybrid
- Contract
- $50,000 / year
- United States
Job highlights
- Annotate and label data for AI systems.
- Evaluate AI response quality and relevance.
- Moderate content for compliance and standards.
- Work remotely with flexible hours.
- Must be US-based with strong attention to detail.
About the role
AI Engineer – Data Annotation (Remote)
Join Twine's fully remote project focused on enhancing AI systems through high-quality data annotation and evaluation. This role is ideal for U.S.-based freelancers with a keen eye for detail and a passion for technology. You will play a crucial part in training AI models by reviewing, labeling, and annotating data in various formats, ensuring the accuracy and reliability of AI-generated outputs. The position offers flexible hours and the potential for ongoing collaboration based on performance.
Deliverables
- Annotate and label data sets according to detailed project guidelines
- Evaluate and rate AI-generated responses for quality and relevance
- Review and moderate content to ensure compliance with standards
- Provide consistent, reliable output within set deadlines
- Communicate feedback and report issues as needed
Requirements
- Based in the United States with reliable internet access
- Previous experience in data annotation, AI training, content moderation, or similar online task platforms
- Strong written English and attention to detail
- Ability to follow complex instructions and maintain consistency
- Self-motivated, reliable, and able to work independently
- Flexible availability to accommodate project needs
About Twine
Twine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Trusted by Fortune 500 companies and innovative startups alike, Twine enables companies to scale their teams globally.
Our Mission
Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.
Key skills/competency
- Data Annotation
- AI Training
- Content Moderation
- Quality Assurance
- Attention to Detail
- Remote Work
- Freelance
- Data Labeling
- AI Evaluation
- US-based
Skills & topics
- AI Engineer
- Data Annotation
- Remote
- Freelance
- US-based
- AI Training
- Content Moderation
- Data Labeling
- Quality Assurance
- Twine
How to get hired
- Tailor your resume: Highlight data annotation, AI training, and content moderation experience.
- Showcase attention to detail: Provide specific examples of accuracy in previous tasks.
- Emphasize remote work skills: Detail your self-motivation and independent work capabilities.
- Address requirements: Confirm US residency and reliable internet access.
- Prepare for evaluation: Be ready to demonstrate adherence to complex instructions.
Technical preparation
Practice data labeling accuracy.,Familiarize with annotation tools.,Review AI response evaluation criteria.,Understand content moderation policies.
Behavioral questions
Describe attention to detail.,How do you follow instructions?,How do you manage tasks independently?,How do you handle feedback?
Frequently asked questions
- What are the primary responsibilities of an AI Engineer Data Annotation at Twine?
- As an AI Engineer Data Annotation at Twine, your primary responsibilities include annotating and labeling data sets, evaluating AI-generated responses for quality, and moderating content to ensure compliance with project guidelines. This role is crucial for training and improving AI models.
- Is this AI Engineer Data Annotation role suitable for entry-level candidates?
- While prior experience in data annotation, AI training, or content moderation is preferred, candidates with strong attention to detail and the ability to follow complex instructions may be considered. Demonstrating these skills will be key.
- What technical skills are most important for the AI Engineer Data Annotation position?
- The most important technical skills involve meticulous data annotation and labeling, evaluating the quality of AI outputs, and ensuring data accuracy. A strong understanding of AI training processes and content moderation principles is also vital.
- What does 'US-based' mean for this AI Engineer Data Annotation role?
- 'US-based' means you must reside in the United States and have reliable internet access to perform the data annotation tasks effectively for this Twine project.
- Can I apply for the AI Engineer Data Annotation role if I am not based in the US?
- No, this specific AI Engineer Data Annotation role requires candidates to be based in the United States due to project and operational requirements. Please check Twine for other opportunities if you are not based in the US.
- What is the work arrangement for the AI Engineer Data Annotation role?
- The AI Engineer Data Annotation role is fully remote, offering flexible hours to accommodate project needs and allow freelancers to work independently from their location.
- How does Twine ensure the quality of AI training data?
- Twine ensures data quality through detailed project guidelines, rigorous annotation and evaluation processes, and by selecting freelancers with strong attention to detail and the ability to follow complex instructions consistently.
- What is the typical duration or availability for the AI Engineer Data Annotation position?
- The position offers flexible availability to accommodate project needs, with the potential for ongoing collaboration based on performance. This allows for a dynamic work schedule.