Remote Robotics Annotation Engineer for AI Training

Crossing Hurdles; México; Remote; MXN 200,000 - 320,000; Full time

Job summary

Crossing Hurdles is seeking a Mechatronics-focused video annotation specialist to review robotic arm sessions and provide precise tagging and comments. You will apply project guidelines to classify footage and document mechanical or control issues observed.

Ideally, you have a background in mechatronics, hands-on experience with robotics, and a proven ability to work autonomously in a remote, asynchronous environment while contributing to AI training data quality.

Qualifications

• Mechatronics background with robotics knowledge.
• Experience with data labeling or annotation for robot systems.
• Ability to identify mechanical/control problems in complex machinery.
• Detail oriented with a track record of precise technical deliverables.
• Understanding of why machines fail and robotic movement dynamics.
• Experience supporting AI training or ML projects is preferred.
• Ability to work autonomously in a remote, asynchronous environment.

Responsibilities

• Review and annotate robotic video sessions with precision.
• Tag, classify, and comment on each session according to guidelines.
• Identify, document, and categorize mechanical or control problems.
• Pinpoint reasons for failures or inefficiencies in footage.
• Collaborate with project coordinators to clarify guidelines or content.

Skills

Attention to detail

Remote work experience

Video annotation

Mechanical problem solving

Robotics understanding

Clear technical deliverables

Education

Mechatronics Engineering degree or closely related discipline

Tools

Video annotation tools

Job description

• Review recorded video sessions of robotic arms executing various industrial tasks.
• Apply provided grading and annotation guidelines to tag, classify, and comment on each session.
• Identify, document, and categorize mechanical or control problems observed in the footage.
• Utilize expert understanding of machine movement to pinpoint reasons for operational failures or inefficiencies.
• Ensure all annotations are precise, comprehensive, and align with project standards to advance AI training quality.
• Collaborate with project coordinators as needed to clarify ambiguities in guidelines or video content.

Requirements

• Professional background in Mechatronics Engineering or closely related discipline.
• Prior experience with video annotation or data labeling, especially for robotic or industrial automation systems.
• Demonstrated ability to spot and interpret mechanical and control problems in complex machinery.
• Strong attention to detail, with a record of producing accurate technical deliverables.
• Understanding of why and how machines fail and the dynamics of robotic movement.
• Experience supporting AI training or machine learning projects is highly preferred.
• Ability to work autonomously and deliver results in a remote, asynchronous project environment.

Application Process

• Easy Apply on LinkedIn
• Participate in resume evaluation & interview stage