About the Company
Scale AI is the leader in data for AI. We accelerate the development of AI applications by providing high-quality training data for leading machine learning teams. Our mission is to build the data infrastructure for AI, enabling cutting-edge AI products and services across industries. Join a team dedicated to pushing the boundaries of artificial intelligence.
Job Description
We are seeking a highly detail-oriented and perceptive Micro-Expression Data Labeler to join our innovative team in Ogden, UT. In this crucial role, you will be responsible for meticulously identifying and annotating subtle, fleeting facial expressions (micro-expressions) within various datasets, primarily video and image content. Your accurate and consistent labeling will directly contribute to the training and improvement of advanced emotion detection AI models, helping to create more nuanced and effective artificial intelligence solutions. This position requires exceptional observational skills, unwavering focus, and a strong commitment to data quality.
Key Responsibilities
- Accurately identify and label micro-expressions, facial muscle movements, and emotional states in diverse datasets (images, video footage).
- Adhere strictly to detailed annotation guidelines to ensure consistency and high data quality.
- Utilize proprietary labeling tools and software efficiently to process large volumes of data.
- Provide constructive feedback on annotation tools and guidelines to improve workflows and clarity.
- Collaborate with project managers and AI engineers to understand project requirements and objectives.
- Maintain high levels of productivity and accuracy throughout daily tasks.
- Participate in regular quality assurance checks and calibration sessions.
Required Skills
- Exceptional attention to detail and strong observational skills.
- Ability to concentrate for extended periods on intricate visual data.
- Strong understanding of human facial anatomy and emotional cues (or quick learner in this area).
- Proficiency in using computer applications and web-based tools.
- Reliable internet access and a suitable workspace for hybrid work.
- Excellent time management and organizational skills.
- Ability to work independently while contributing to a team environment.
Preferred Qualifications
- Prior experience in data annotation, labeling, or quality assurance, especially in visual data.
- Background or strong interest in psychology, behavioral science, linguistics, or related fields.
- Familiarity with AI/Machine Learning concepts and data requirements.
- Experience with image/video editing software.
- Bachelor's degree in a relevant field (e.g., Psychology, Cognitive Science, Computer Science).
Perks & Benefits
- Comprehensive health, dental, and vision insurance plans.
- Generous paid time off and company holidays.
- 401(k) retirement plan with company matching.
- Opportunities for professional growth and skill development.
- Access to cutting-edge AI technology and projects.
- Flexible hybrid work model.
- Employee assistance programs.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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