Data Annotator
Posted 16 days ago · 0 applicants
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The role in plain words
This role involves annotating and tagging visual ground truth data from RGB, thermal, and visual geographical sensors for deep learning pipelines. You will work closely with internal teams to understand data requirements and suggest efficiency improvements. Day-to-day tasks focus on generating accurate visual data for safety-critical railway vision systems.
- At least two years of experience with visual data annotation and tagging
- Excellent attention to detail and organizational skills
- Ability to perform repetitive work for long periods while preserving high quality output
- Good interpersonal skills, and a team player
- Ability to learn and absorb quickly
- Hands-on experience with Adobe After Effects
- Background in video editing and post-production workflows
- Experience working with Blender
- Familiarity with scripting languages such as Python and JavaScript
Extracted from the job description · kept up to date automatically
Who this suits
This role suits individuals with at least two years of experience in visual data annotation who can maintain high attention to detail during repetitive tasks. It is less ideal for those seeking remote work, as no work environment specifics were provided.
Full job description
Original listing · kept for referenceRail Vision is a multidisciplinary AI & Electro-Optics startup based in Ra’anana, developing life-saving vision systems for the global railway market.
We are looking for a talented and self-motivated Annotation Specialist to join our Annotation team and work closely with our Algorithms department.
This is a unique opportunity to make a real impact in a meaningful, safety-critical industry.
Responsibilities:
• Be responsible for the ground truth annotation and tagging and channel accurate visual data to the deep learning pipeline.
• Work with various imagery sensors such as RGB, Thermal and visual geographical data.
• Work closely with internal teams to understand their requirements for annotated data.
• Suggest methods for improving work efficiency.
Requirements:
• At least two years of experience with visual data annotation and tagging.
• Excellent attention to detail and organizational skills.
• Ability to perform repetitive work for long periods while preserving high quality output.
• Good interpersonal skills, and a team player.
• Ability to learn and absorb quickly.
• Ability to work independently within a growing team.
Advantages:
• Hands-on experience with Adobe After Effects
• Background in video editing and post-production workflows
• Experience working with Blender
• Familiarity with scripting languages such as Python and JavaScript
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- At least two years of experience with visual data annotation and tagging, Excellent attention to detail and organizational skills, Ability to perform repetitive work for long periods while preserving high quality output, Good interpersonal skills, and a team player, Ability to learn and absorb quickly