Remote Data Annotation Specialist for Construction Vision

Bobyard; Menlo Park (CA); Remote; USD 28,000 - 48,000; Full time

Benefits offered by this job

Performance bonus

Equity for ownership

Remote in US

Contract 3–6 months

Path to full-time

Job summary

Bobyard is building AI-powered tools for construction takeoffs. You will label drawings for our ML models, using guidelines to ensure consistency across the dataset and improve model learning.

The role supports remote work in the United States and offers a path to stability through a contract arrangement. You will work with ML engineers, focus on repetitive, precise labeling, and help develop clearer data-generation rules as we scale to new trades.

Qualifications

• You catch what’s wrong, inconsistent, or missing before anyone points it out.
• You follow written instructions precisely, and use good judgment when they run out.
• You can do focused, repetitive work for hours without your accuracy slipping.
• You learn new tools fast and work well on your own, remotely.
• Clear written English for flagging issues and asking questions.

Responsibilities

• Label construction drawings with bounding boxes, polygons, and segmentation masks that meet our accuracy bar.
• Apply guidelines consistently, so labels match from the first drawing to the last.
• Flag ambiguous and edge cases early, and turn them into sharper guidelines.
• Clean existing datasets: fix inconsistent labels, missing metadata, and duplicates.
• Hit weekly quality and throughput targets.
• Tell ML engineers what you see in the data, so they fix failures faster.

Skills

Attention to detail

Remote work capable

English proficiency

Self-directed

Fast learner

Tools

Labelbox

CVAT

Supervisely

Job description

Bobyard is building AI-powered tools for construction takeoffs. You will label drawings for our ML models, using guidelines to ensure consistency across the dataset and improve model learning.

The role supports remote work in the United States and offers a path to stability through a contract arrangement. You will work with ML engineers, focus on repetitive, precise labeling, and help develop clearer data-generation rules as we scale to new trades.