Video Annotator (Traffic & Behavioral)
The client is a NYC-based non-profit with a social mission to lift economically and socially marginalized youth out of poverty in Asia and Africa. Using impact-based outsourcing, they create sustainable, living-wage jobs by providing data-labeling and annotation services for training datasets used in Computer Vision and GenAI applications.
The client is seeking dynamic, passionate, detail-oriented, and self-motivated individuals who enjoy providing annotation services. This position is ideal for self-starters with customer-facing etiquette, good communication skills, and a strong work ethic. Responsibilities for the Retrieval Benchmark Annotation Project include performing multi-dimensional scene annotation for autonomous driving data. As an annotator, go beyond object labeling and perform structured classification, behavioral analysis, and apply causal reasoning.
Apply advanced annotation capability by using the following skills: use your experience with annotation tools (segmentation, object tracking, timelines) apply complex taxonomies and attribute structures deploy accurate frame-level updates and lifecycle management of annotations. Scene interpretation & spatial awareness by using the following skills: use your strong understanding of road environments and layouts identify road types, traffic infrastructure, and conditions demonstrate accurate perception of relative positioning and spatial relationships. Apply behavioral & causal reasoning in the following tasks: interpret why events occur, not just what is visible identify relationships between ego vehicle, environment, and agents create logical links between entities. Apply temporal analysis with the following tasks: track changes over time within a scene update attributes dynamically as scenes evolve. Use traffic knowledge & driving judgment by using the following skills: strong understanding of traffic rules and right-of-way principles use discerning ability to assess legal vs illegal and safe vs aggressive behavior. Apply multi-agent interaction understanding when performing the following tasks: analyzing interactions between vehicles, pedestrians, objects, and the environment understanding and determining the influence and dependency between actors.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws.
Why join us?
100% remote, flexible work scheduled based on the client's needs
Be part of a collaborative, mission-driven project
Work with a team that values your educational expertise

Remote Video Annotators
Barker Staffing Solutions, LLC, New York, NY, USA
Job type: Full Time