Data Annotation Analyst

Team: Analyst

Location: Finland

Commitment: Contract

Workplace Type: remote

Accountabilities:

• Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features.
• Create and maintain accurate segmentation, object tracking, pose, and keypoint annotations across visual sequences.
• Apply detailed annotation specifications covering class definitions, occlusion rules, object thresholds, and inclusion or exclusion criteria.
• Review completed work, respond to QA feedback, and consistently meet established quality and accuracy standards.
• Identify and escalate ambiguous scenes, sensor artifacts, tooling problems, and gaps in annotation specifications rather than making assumptions.
• Document data quality and tooling issues clearly, including relevant details and reproducible steps.
• Participate in calibration sessions, guideline reviews, and team standups to maintain consistent interpretations across the annotation team.
• Share observations and edge cases that can improve annotation guidelines, taxonomies, and documentation.
• Maintain expected production volume while ensuring annotations remain accurate, consistent, and reliable.

Requirements:

• Strong attention to detail and the ability to maintain accuracy during repetitive, visually intensive work over extended periods.
• Strong spatial reasoning skills, including the ability to interpret 3D environments and understand object size, position, orientation, and relationships.
• Ability to learn and navigate specialized software efficiently, including keyboard shortcuts and other productivity features.
• Experience working in a fast-paced, scaled environment with defined productivity, quality, or accuracy targets.
• Experience with image annotation or GenAI data workflows.
• Reliable high-speed internet and a distraction-free workspace suitable for focused, visually intensive work.
• Ability to work on a company-provided machine within a controlled technical environment.
• Associate or bachelors degree is a plus.
• Experience with image, video, LiDAR, or 3D annotation tools is preferred.
• Background in subsurface utility engineering, construction surveying, surveying, GIS, or other fields involving spatial interpretation of physical environments is advantageous.
• Experience with AutoCAD or similar technical design tools is a plus.
• Experience in construction, mining, agriculture, industrial operations, or heavy equipment environments is beneficial.
• Familiarity with point cloud data, sensor fusion, or camera-LiDAR calibration is preferred.
• Experience working with autonomous vehicles, robotics, or machine perception datasets is an advantage.

Benefits:

• Opportunity to contribute to advanced AI and computer vision applications across complex real-world environments.
• Flexible working environment designed to support different working styles and team needs.
• Access to specialized tools, resources, and opportunities to develop technical capabilities.
• Collaborative culture focused on innovation, accountability, curiosity, and high-quality AI solutions.
• Opportunity to work alongside experienced professionals on challenging AI training and evaluation projects.
• Remote work environment with the flexibility to work from a suitable location in the United States.
• Company-provisioned machine and controlled work environment for performing annotation tasks.