AI Data Annotation Specialist Jobs
AI Data Annotation Specialist jobs are open across technology, healthcare, automotive, finance, and research organizations, at every level from entry-level to senior and lead, with specializations in NLP, computer vision, and multimodal data labeling. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 5 of 8+ AI Data Annotation Specialist jobs
Job Title: Tele-Operator (Robotics Operations)
Location: Redmond, WA OR Sunnyvale, CA 94089 (Onsite)
Duration: 3+ months
Mode of Interview: Video round then Onsite discussion
Work Schedule: 7 days/week (sometime includes weekend over all 5 days working) , across three shifts covering 7:00 AM – 11:00 PM PT.
- 7:00 AM – 12:30 PM PT
- 12:00 PM – 5:30 PM PT
- 5:00 PM – 11:00 PM PT.
Candidate needs to pick one shift & WeekHalf will be Rotation wise.
Key Responsibilities
- Operate and control robotic systems remotely in real-time using teleoperation interfaces
- Perform precise manipulation tasks using advanced control devices (e.g., joysticks, haptic controllers, sensory gloves)
- Utilize egocentric camera systems (first-person view) to navigate and execute tasks accurately
- Monitor live video feeds, sensor data, and system feedback to ensure safe and efficient operations
- Maintain high levels of hand-eye coordination and spatial awareness during complex operations
- Execute assigned tasks following standard operating procedures (SOPs) and safety protocols
- Identify and respond to anomalies, delays, or system malfunctions during operation
- Collaborate with engineering and technical teams to report issues and improve system performance
- Participate in training sessions to adapt to new robotic systems, tools, and interfaces
- Maintain operational logs and provide feedback on usability and performance of teleoperation systems
Required Skills & Qualifications
- Strong hand-eye coordination and fine motor control
- Ability to operate in a first-person (egocentric) perspective environment
- Comfortable using wearable tech such as sensory gloves, VR/AR systems, or motion tracking devices
- Good spatial awareness and depth perception
- High level of focus and attention to detail
- Basic computer literacy and familiarity with control interfaces or gaming controllers (advantage)
- Ability to follow structured procedures with precision
- Good problem-solving skills and ability to react quickly under pressure
Preferred Qualifications (Nice to Have)
- Experience in robotics, gaming, simulation, drone operation, or remote machinery control
- Familiarity with haptic feedback systems or immersive technologies (VR/AR)
- Background in engineering, technical operations, or related fields
- Prior experience in data collection or AI training environments
Work Conditions
- May require extended periods of screen-based operation
- Tasks may demand high concentration and repetitive motion
- Occasional use of wearable devices (e.g., head-mounted cameras, sensory gloves)
- Controlled indoor environment (lab, office, or simulation setting)
Key Traits
- Detail-oriented and highly attentive
- Technically curious and adaptable
- Calm under pressure
- Strong coordination and multitasking ability
Pay: $24.00 - $25.00 per hour
Expected hours: 27.0 – 30.0 per week
Work Location: In person
Job Title: Tele-Operator (Robotics Operations)
Location: Redmond, WA OR Sunnyvale, CA 94089 (Onsite)
Duration: 3+ months
Mode of Interview: Video round then Onsite discussion
Work Schedule: 7 days/week (sometime includes weekend over all 5 days working) , across three shifts covering 7:00 AM – 11:00 PM PT.
- 7:00 AM – 12:30 PM PT
- 12:00 PM – 5:30 PM PT
- 5:00 PM – 11:00 PM PT.
Candidate needs to pick one shift & WeekHalf will be Rotation wise.
Key Responsibilities
- Operate and control robotic systems remotely in real-time using teleoperation interfaces
- Perform precise manipulation tasks using advanced control devices (e.g., joysticks, haptic controllers, sensory gloves)
- Utilize egocentric camera systems (first-person view) to navigate and execute tasks accurately
- Monitor live video feeds, sensor data, and system feedback to ensure safe and efficient operations
- Maintain high levels of hand-eye coordination and spatial awareness during complex operations
- Execute assigned tasks following standard operating procedures (SOPs) and safety protocols
- Identify and respond to anomalies, delays, or system malfunctions during operation
- Collaborate with engineering and technical teams to report issues and improve system performance
- Participate in training sessions to adapt to new robotic systems, tools, and interfaces
- Maintain operational logs and provide feedback on usability and performance of teleoperation systems
Required Skills & Qualifications
- Strong hand-eye coordination and fine motor control
- Ability to operate in a first-person (egocentric) perspective environment
- Comfortable using wearable tech such as sensory gloves, VR/AR systems, or motion tracking devices
- Good spatial awareness and depth perception
- High level of focus and attention to detail
- Basic computer literacy and familiarity with control interfaces or gaming controllers (advantage)
- Ability to follow structured procedures with precision
- Good problem-solving skills and ability to react quickly under pressure
Preferred Qualifications (Nice to Have)
- Experience in robotics, gaming, simulation, drone operation, or remote machinery control
- Familiarity with haptic feedback systems or immersive technologies (VR/AR)
- Background in engineering, technical operations, or related fields
- Prior experience in data collection or AI training environments
Work Conditions
- May require extended periods of screen-based operation
- Tasks may demand high concentration and repetitive motion
- Occasional use of wearable devices (e.g., head-mounted cameras, sensory gloves)
- Controlled indoor environment (lab, office, or simulation setting)
Key Traits
- Detail-oriented and highly attentive
- Technically curious and adaptable
- Calm under pressure
- Strong coordination and multitasking ability
Pay: $24.00 - $25.00 per hour
Expected hours: 27.0 – 30.0 per week
Work Location: In person
See All 8 AI Data Annotation Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsAI Data Annotation Specialist Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in AI data annotation specialist jobs.
- Experience with data labeling platforms such as image, text, or audio annotation tools
- Strong attention to detail and ability to follow complex annotation guidelines consistently
- Familiarity with machine learning concepts and how labeled data is used in model training
- Proficiency in quality assurance processes including inter-annotator agreement and error auditing
- Ability to meet production throughput targets while maintaining accuracy benchmarks
- Bachelor's degree or equivalent experience in linguistics, computer science, or a related field
Tips for Your AI Data Annotation Specialist Job Search
Tailor your resume to annotation tools
List the specific platforms you've used for labeling tasks, such as image bounding boxes, entity recognition, or audio transcription. Recruiters scan for tool familiarity, so naming the software directly puts your resume ahead of generic applications.
Highlight domain expertise on your resume
Annotation work is often domain-specific. If you've labeled medical imaging, autonomous vehicle data, or legal documents, call that out explicitly. Matching your background to the vertical a company works in dramatically improves your callback rate.
Apply early to roles that fit
Migrate Mate lists ai data annotation specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by annotation modality
Job titles vary widely: some postings say data labeler, others say content reviewer or RLHF specialist. Search for the underlying task type, such as text classification or image segmentation, alongside the title to surface openings that match your actual skill set.
Prepare a sample annotation walkthrough
Many interviews include a live or take-home labeling task. Practice narrating your decision process out loud, explaining how you handle edge cases and ambiguous examples. Interviewers care more about your reasoning than the speed of your labels.
Negotiate scope, not just compensation
Before accepting an offer, ask whether the role involves guideline writing, quality assurance, or only production labeling. These scope differences affect career growth, and clarifying them in writing protects you if responsibilities shift after you start.
AI Data Annotation Specialist Jobs: Frequently Asked Questions
How many ai data annotation specialist jobs are remote?
About 0% of ai data annotation specialist openings are fully remote or hybrid as of November 2026, reflecting how well the core labeling workflow translates to distributed teams. Text and audio annotation roles tend to have the highest remote availability, while roles requiring specialized hardware access for sensor or medical imaging data are more likely to require on-site work.
How do you become an ai data annotation specialist?
Start by learning the fundamentals of supervised machine learning so you understand why labeled data matters. Next, practice hands-on labeling across modalities, text, images, and audio, using free or low-cost annotation tools to build fluency. Take on freelance or contract annotation projects to build a verifiable output history, then apply to entry-level roles that emphasize accuracy and guideline adherence over prior full-time experience.
Can you get hired as an ai data annotation specialist with little experience?
Yes, many employers hire candidates with no prior full-time annotation experience if you can demonstrate attention to detail and the ability to follow structured guidelines. Completing a small self-directed annotation project, such as labeling a public dataset and documenting your quality process, gives hiring managers concrete evidence of your capabilities. Contract and part-time annotation roles are also a common entry point before moving into full-time positions.
What does the ai data annotation specialist interview process look like?
Most processes start with a recruiter screen focused on your familiarity with annotation concepts and tool experience. A take-home or live annotation task usually follows, where you label a sample dataset according to provided guidelines and explain your edge-case decisions. Final rounds typically include a team interview covering your quality assurance approach, your ability to flag guideline ambiguities, and how you maintain accuracy under production volume expectations.
Where can I find and apply to ai data annotation specialist jobs?
You can find and apply to ai data annotation specialist jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your skills and background, and apply directly to each listing that fits.
See All 8 AI Data Annotation Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs