Data Annotator (Remote)
AI Jobs · Albany, New York Metropolitan Area
- Hybrid
- Full-time
- $70,000 / year
- Albany, New York Metropolitan Area
Job highlights
- Label and evaluate data for AI models.
- Apply and refine annotation guidelines.
- Ensure data accuracy and consistency.
- Work remotely with flexible hours.
- Contribute to AI model improvement.
About the role
Data Annotator (Remote)
AI Jobs is seeking a dedicated Data Annotator to join our remote team. In this role, you will be instrumental in labeling, evaluating, and improving the data that powers cutting-edge AI models. This position requires meticulous attention to detail as you read model outputs, apply precise labeling guidelines, and contribute to the advancement of AI systems.
Key Responsibilities
- Annotate text, image, audio, or video data according to detailed labelling guidelines.
- Evaluate AI-generated outputs for accuracy, helpfulness, and adherence to instructions.
- Identify edge cases and ambiguities in guidelines and flag them to the annotation lead.
- Maintain high inter-annotator agreement through consistency and careful judgement.
- Provide structured feedback that improves future model training rounds.
- Meet daily and weekly throughput targets while maintaining quality benchmarks.
What You'll Bring
- Curiosity about how models behave and why they fail.
- Rigor in following guidelines and flagging ambiguity early.
- Strong written communication, including ability to document findings clearly.
- Comfort working asynchronously across time zones.
Required Skills and Qualifications
- Strong reading comprehension and attention to detail.
- Comfort with structured guidelines and ability to apply them consistently.
- Excellent written English and the ability to explain reasoning clearly.
- Bachelor's degree or equivalent practical experience preferred.
- Familiarity with AI tools like ChatGPT, Claude, or similar is a plus.
- Self-directed; able to work independently on quota-driven projects.
What We Offer
- Fully remote, flexible work hours.
- Performance-based bonus structure.
- Annual learning & development stipend.
- Health and wellness benefits (varies by location).
- Opportunity to work on high-scale, real-world impact projects.
Key skills/competency
- Data Annotation
- AI Training Data
- Labeling Guidelines
- Quality Assurance
- Attention to Detail
- Written Communication
- AI Tools
- Remote Work
- Independent Work
- Problem Solving
Skills & topics
- Data Annotator
- AI
- Machine Learning
- Data Labeling
- Annotation
- Remote
- Full-time
- Data Quality
- AI Training
- Text Annotation
How to get hired
- Customize your resume: Highlight data annotation experience and attention to detail.
- Tailor your application: Emphasize your comfort with guidelines and clear communication skills.
- Prepare for interviews: Be ready to discuss your problem-solving approach and AI familiarity.
- Showcase your remote work skills: Demonstrate self-direction and asynchronous collaboration ability.
Technical preparation
Practice applying strict labeling guidelines.,Familiarize with AI output evaluation.,Review common annotation tools.,Improve data feedback documentation.
Behavioral questions
Describe a time you followed complex instructions.,How do you ensure accuracy in detailed work?,Explain how you handle ambiguity.,How do you provide constructive feedback?
Frequently asked questions
- What does a Data Annotator do at AI Jobs?
- As a Data Annotator at AI Jobs, you will meticulously label, evaluate, and improve data used to train AI models. This involves working with text, images, audio, or video, applying detailed guidelines, and providing feedback to enhance AI system performance.
- Is the Data Annotator role remote?
- Yes, the Data Annotator position at AI Jobs is fully remote, offering flexible work hours and the ability to work asynchronously across different time zones.
- What qualifications are preferred for the Data Annotator role?
- While a Bachelor's degree or equivalent practical experience is preferred, the role emphasizes strong reading comprehension, attention to detail, excellent written English, and the ability to consistently apply structured guidelines. Familiarity with AI tools like ChatGPT is a plus.
- How is performance measured for a Data Annotator at AI Jobs?
- Performance for Data Annotators is measured by meeting daily and weekly throughput targets while maintaining high quality benchmarks. Maintaining high inter-annotator agreement through consistency and careful judgment is also crucial.
- What are the benefits of working as a Data Annotator at AI Jobs?
- Benefits include a competitive salary with a performance-based bonus structure, an annual learning & development stipend, health and wellness benefits, and the opportunity to work on high-scale, real-world impact AI projects.
- Can I apply for the Data Annotator role if I don't have a Bachelor's degree?
- Yes, equivalent practical experience is considered for the Data Annotator role at AI Jobs. Strong reading comprehension, attention to detail, and the ability to apply guidelines consistently are key.