Data Annotation Specialist

Dyna Robotics
Redwood City, US
Career-pivot friendly

Who this role is best for

Best suited to detail-oriented candidates with experience in video data annotation working in AI-driven robotics.

Best fit for

  • Candidates with hands-on experience in video annotation and QA practices.
    — “Hands-on experience annotating video (boxes/masks/keypoints, action labels, ID tracking)
  • Individuals comfortable with reviewing and correcting pre-annotated data.
    — “comfort with pre-annotation/autolabel review and correction
  • Those familiar with common annotation formats and video concepts.
    — “Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts

Things to consider

  • Role requires consistent application of guidelines and independent work.
    — “consistent application of guidelines
  • Position involves close collaboration with engineering and research teams.
    — “work closely with our engineering and research teams

How to stand out

  • Highlight specific tools you've used for video annotation.
    — “Proficiency with annotation tools
  • Demonstrate your ability to maintain high data integrity standards.
    — “Maintain data integrity by applying guidelines and QC checks
  • Showcase experience with tuning auto-tracking or segmentation pipelines.
    — “tune auto-tracking/segmentation pipelines
Pace · SteadyCollaboration · LowAutonomy · MediumDecision Impact · IndividualLevel · Junior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • data quality
  • annotation throughput
  • automation
Typical background
data annotationvideo annotation

Skills & requirements

Required

Data AnnotationVideo AnnotationQuality ControlPre-annotation Tools

Preferred

Annotation ToolsQA PracticesCommon Annotation Formats

Stack & domain

Video AnnotationPre-annotation/autolabel Review And CorrectionAnnotation ToolsQa PracticesCommon Annotation FormatsAttention To DetailWritten CommunicationCollaborative Attitude

About the role

Original posting from Dyna Robotics via Ashby

Company Overview:

Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics—one manipulation skill at a time.

Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With $20mil+ in funding, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.

Position Overview:

As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system by annotating data on various diverse tasks performed by robots. Your will directly influence the performance of our robotic arms, helping them become more accurate and efficient. You will work closely with our engineering and research teams, ensuring data is labeled of the highest quality and meets required standards.

Key Responsibilities:

  • Manually annotate video sequences (boxes/masks/keypoints), track IDs, and label actions & temporal segments
  • Maintain data integrity by applying guidelines and QC checks; resolve ambiguities and fix errors
  • Leverage pre-annotation/autolabeling tools to boost throughput—validate/correct model prelabels and tune auto-tracking/segmentation pipelines

Qualifications:

  • Associate’s or Bachelor’s degree (or equivalent experience)
  • Strong attention to detail; consistent application of guidelines
  • Ability to follow detailed instructions and work independently with minimal supervision
  • Clear written communication and a collaborative attitude

Preferred Qualifications:

  • Hands-on experience annotating video (boxes/masks/keypoints, action labels, ID tracking)
  • Proficiency with annotation tools; comfort with pre-annotation/autolabel review and correction
  • Familiarity with QA practices (inter-annotator agreement, spot checks, golden sets)
  • Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs)

Source: Dyna Robotics careers (Ashby)

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