Mechanical Engineer for AI Video Annotation

SaidGig; New York (NY); Remote; USD 69,000 - 124,000; Full time

Job summary

SaidGig is seeking a mechanical engineer to train AI and robotics systems by reviewing and annotating videos of robots, components, and interactions. This remote contract role requires recognizing how parts move and interact, then translating observations into precise training data.

Ideal candidates have 2+ years in mechanical fields, strong CAD awareness, and keen attention to detail. Prior AI data labeling helps but isn't required; independent work and adherence to guidelines are essential.

Qualifications

• 2+ years in Mechanical Engineering, Mechanical Design, Manufacturing, Robotics, or related field.
• Strong understanding of mechanical components, tools, machines and physical systems.
• Ability to understand how mechanical parts move and interact.
• Knowledge of 3D CAD modeling and tolerances.
• Experience with CAD tools such as SolidWorks, NX, Creo, or CATIA is a plus.
• Exposure to robotics, automation, manufacturing, or industrial equipment preferred.
• Excellent attention to detail and ability to spot small differences in video content.
• Good written English and ability to follow detailed instructions.

Responsibilities

• Review videos featuring robotic systems, mechanical components, tools, equipment, and physical tasks.
• Annotate and label objects, movements, actions, components, and mechanical interactions in video footage.
• Identify important engineering details like motion, positioning, and task sequences.
• Review annotations for technical accuracy, consistency, and completeness.
• Use mechanical knowledge to identify incorrect or unclear annotations.
• Follow project guidelines and annotation standards carefully.
• Provide feedback on difficult or ambiguous video examples.
• Work independently and complete tasks within project timelines.

Skills

Mechanical engineering

Attention to detail

Written English

Tools

SolidWorks

NX

Creo

CATIA

Job description

Apply your mechanical engineering expertise to help train advanced AI and robotics systems by reviewing and annotating video footage of robots, mechanical systems, tools, components, and physical interactions. This remote contract role is designed for engineers who can recognize how mechanical parts move, interact, and behave, then translate those observations into technically accurate training data. Previous AI experience is not required.

Key Responsibilities

• Review videos featuring robotic systems, mechanical components, tools, equipment, and physical tasks.
• Annotate and label objects, movements, actions, components, and mechanical interactions shown in video footage.
• Identify important engineering details, including motion, positioning, component behavior, and task sequences.
• Review annotations for technical accuracy, consistency, and completeness.
• Use mechanical engineering knowledge to identify incorrect, unclear, or incomplete annotations.
• Follow project guidelines and annotation standards carefully.
• Provide feedback on difficult or ambiguous video examples.
• Work independently and complete assigned annotation tasks within project timelines.

Qualifications

• 2 or more years of experience in Mechanical Engineering, Mechanical Design, Manufacturing, Robotics, or a related field.
• Good understanding of mechanical components, tools, machines, and physical systems.
• Ability to understand how mechanical parts and systems move and interact.
• Knowledge of 3D CAD modeling and tolerances.
• Experience with CAD tools such as SolidWorks, NX, Creo, or CATIA is a plus.
• Exposure to robotics, automation, manufacturing, or industrial equipment is preferred.
• Strong attention to detail and the ability to identify small differences in video content.
• Good written English and the ability to follow detailed instructions.
• Previous experience with video annotation, data labeling, AI training, or computer vision projects is a plus, but is not required.

Work Terms

Remote contract engagement. Work is performed independently within assigned project timelines and according to defined annotation standards.

Compensation

Hourly compensation ranges from $50 to $90.

Project and Application Details

The work supports a customer project focused on training advanced AI and robotics systems.