At a Glance
- Tasks: Evaluate AI responses and annotate data to enhance model accuracy.
- Company: Join a forward-thinking team focused on AI innovation.
- Benefits: Earn $40/hr, enjoy remote work, and gain valuable experience.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Play a key role in shaping the future of AI technology.
- Qualifications: Experience in data annotation and strong analytical skills required.
The predicted salary is between 32000 - 48000 Β£ per year.
Responsibilities
- Evaluate and score AI-generated responses using well-defined rubrics and metrics.
- Annotate and categorize data sets to improve AI model accuracy.
- Review content for relevance, coherence, and factual accuracy.
- Provide actionable feedback on AI performance for model improvements.
- Collaborate with teams to interpret guidelines and refine rubrics.
- Document findings and maintain records of annotations and evaluations.
Requirements
- Have strong relevant experience in data annotation and content evaluation.
- Strong critical reading and analytical skills with rubric application ability.
- Proficiency in written and verbal communication for clear feedback articulation.
- Experience in evaluating or scoring large volumes of content against detailed criteria.
- Experience with AI training, machine learning data annotation, or related tasks is highly valued.
Data Annotation Specialist | $40/hr Remote employer: Crossing Hurdles
As a Data Annotation Specialist at our company, you will join a dynamic and innovative team dedicated to enhancing AI technologies. We offer a flexible remote work environment that promotes collaboration and personal growth, alongside competitive pay and opportunities for professional development in the rapidly evolving field of AI. Our inclusive work culture values your insights and contributions, making it an ideal place for those seeking meaningful and rewarding employment.
We think you need these skills to ace Data Annotation Specialist | $40/hr Remote
Data Annotation
Content Evaluation
Analytical Skills
Critical Reading
Rubric Application
Written Communication
Verbal Communication