Data Labeling Specialist

Job Title: Data Labeling Specialist (Looking for candidates that are looking to grow in a tech company but have prior experience in data labeling, analyzing clips, audios, photos for AI purposes), The Data Labeling Specialist supports advanced AI and robotics initiatives by accurately annotating images and video streams generated by humanoid robots. This role focuses on consistent, high-quality data labeling, careful handling of edge cases, and continuous improvement of annotation workflows within a fast-paced, production-oriented environment., * Use proprietary annotation tools to label objects, poses, and interactions in images and video streams generated by humanoid robots.

• Apply clear, consistent logic when annotating a wide range of visual scenarios to ensure high-quality training data for machine learning models.
• Identify, document, and flag ambiguous or edge-case scenarios for review by the machine learning team.
• Maintain high throughput while preserving accuracy and consistency across large batches of annotations.
• Perform careful data entry and data management to ensure labeled datasets remain organized, traceable, and usable for downstream analysis.
• Support quality assurance processes by reviewing labeled data, correcting errors, and helping to enforce annotation standards.
• Contribute feedback on workflow improvements, annotation guidelines, and tool enhancements to increase efficiency and data quality.
• Collaborate with a goal-driven engineering team to align labeling practices with evolving project requirements.
• Stay focused and on task during repetitive labeling work, minimizing distractions to meet productivity and quality targets., Join an early-stage AI and robotics startup that is building a first-of-its-kind general-purpose humanoid robot. You will work alongside a highly driven team, gain exposure to cutting-edge technology, and have meaningful opportunities for growth as the organization scales. The role offers a competitive pay rate and the chance to contribute directly to innovative AI and robotics developments in a dynamic, fast-moving environment.

Robotics Data Entry Innovation Data Analysis Data Labeling Quick Learning Detail Oriented Self-Motivation Data Management Data Collection Video Streaming Health Advocacy Microsoft Office Machine Learning Computer Literacy Quality Assurance Business Solutions Workflow Management Constructive Feedback Packaging And Labeling Discounts And Allowances Verbal Communication Skills Employee Assistance Programs Continuous Improvement Process, * Strong attention to detail and the ability to apply consistent logic across diverse visual scenarios.

• Comfort using computer-based tools and the ability to quickly learn new software and proprietary annotation platforms.
• Proficiency with general computer skills and data entry in a production or lab environment.
• Experience or familiarity with data labeling, data collection, and data management practices.
• Basic data analysis capabilities to understand and interpret labeling requirements and guidelines.
• Quality assurance mindset with a focus on accuracy, consistency, and adherence to standards.
• Ability to manage multiple assignments simultaneously while maintaining a patient, quality-focused approach.
• Clear written and verbal communication skills for documenting edge cases and collaborating with the machine learning and engineering teams.
• Reliable, self-motivated work style with a collaborative spirit in a fast-paced environment.
• Fluency in English.

Additional Skills & Qualifications

• Experience working in a production, lab, or similar operational environment.
• Familiarity with Microsoft Office tools for basic documentation and reporting.
• Comfort performing repetitive tasks while maintaining concentration and accuracy over extended periods.
• Interest in AI, robotics, or machine learning projects and their data requirements.
• Ability to provide constructive feedback on tools, processes, and workflows to support continuous improvement., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts.