Role overview

Qualifications

Strong attention to detail and observation skills
Experience in video annotation or sensor data labeling
Working knowledge of LiDAR point clouds and 3D spatial data
Understanding of robotics, autonomous systems, or computer vision basics

Responsibilities

Annotate video data involving robotic navigation and movement
Analyze and label LiDAR point cloud data (3D bounding boxes, object tracking, segmentation)
Validate robotic movement accuracy and identify inconsistencies
Track objects, obstacles, and environmental changes frame-by-frame

Key facts

Remote from: Mexico
Full time
English

Hard skills

Light Detection And Ranging (LiDAR) Robotics TrackWise Motion Analysis Artificial Intelligence Digital Content Computer Vision Mechatronics Python (Programming Language)

Other skills

Spatial Abilities
Detail Oriented
Analytical Skills
Quality Assurance

About the company

Turtle Trax S.A.

Turtle Trax S.A. is a Costa Rican company that organizes rural tourism projects on the Pacific coast of Costa Rica’s Nicoya Paninsula. We create a unique experience for both international and national travellers by combining sea turtle conservation, hands-on volunteer work, community projects, and locally based tourism. Turtle Trax runs four sea turtle nesting beach conservation projects in partnership with PRETOMA, a Costa Rican NGO. The focus of the projects is to protect sea turtle nests both directly, with hatcheries, and indirectly, through community education and sustainable tourism.

Company details

Company typeStartup

Company size2 - 10

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

About the Role

We are looking for Video Evaluation Analysts with experience in LiDAR data and robotic movement

analysis. The role involves annotating video and sensor data to evaluate robotic perception, motion

accuracy, and environmental understanding.

This is not basic data labeling — the work requires strong spatial awareness, precision, and the ability

to interpret robotic movement patterns.

Key Responsibilities

● Annotate video data involving robotic navigation and movement

● Analyze and label LiDAR point cloud data (3D bounding boxes, object tracking, segmentation)

● Validate robotic movement accuracy and identify inconsistencies

● Track objects, obstacles, and environmental changes frame-by-frame

● Ensure high-quality annotations with strong attention to detail

● Follow annotation guidelines and continuously improve output accuracy

Required Skills & Qualifications

● Strong attention to detail and observation skills.

● Experience in video annotation or sensor data labeling

● Working knowledge of LiDAR point clouds and 3D spatial data

● Understanding of robotics, autonomous systems, or computer vision basics

● Strong attention to detail and ability to work frame-by-frame

Preferred (Nice to Have)

● Interest in AI, visual media, or digital content.

● Background in Robotics / Computer Vision / Autonomous Systems / Mechatronics

● Experience annotating data for self-driving cars, drones, or robotic systems

● Basic understanding of Python or scripting (nice to have)

● Prior experience with QA review or audit processes

Additional Details

● Work Mode: Office (Hyderabad)

● Compensation: As per industry standards, based on relevant experience and skill set

● Availability: Immediately

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.