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Summer Data Annotation Specialist Jobs (NOW HIRING)

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

The Data Annotation Specialist will be responsible for creating, refining, and validating ground-truth data for the company's perception and mapping stacks. Responsibilities : • 3D Perception ...

TEKsystems

Data Annotation Specialist

Menlo Park, CA · Remote

$20/hr

Prior experience in content moderation, data annotation, or policy enforcement roles. Technical Skills Proficiency with annotation tools and platforms. Ability to review multimedia content (text ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal candidate will have strong experience in AI/ML data labeling, QA, and evaluation across NLP ...

Comrise

CA · On-site

$26 - $29/wk

CNC Machinist II - Relocation Packages Available! (Menomonie, WI) Comrise is currently looking for a skilled CNC Machinist II to join our partner's team in Menomonie, WI , to perform intermediate to ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$65.05/hr

Collaborate with data science and platform teams to deploy scalable AI solutions. Annotate and label datasets to support training, evaluation, and alignment workflows across NLP and retrieval tasks.

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Summer Data Annotation Specialist information

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$63

How much do summer data annotation specialist jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for summer data annotation specialist in the United States is $32.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Summer Data Annotation Specialist, and why are they important?

To thrive as a Summer Data Annotation Specialist, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, usually supported by a high school diploma or equivalent. Experience with annotation platforms, spreadsheets, and workflow management tools is often required. Excellent communication, time management, and the ability to follow detailed instructions help you excel in this role. These skills are crucial because they ensure high-quality, accurate data labeling, which is foundational for successful machine learning and AI projects.

What are some typical challenges faced by Summer Data Annotation Specialists, and how can they be addressed?

Summer Data Annotation Specialists often encounter challenges such as maintaining accuracy and consistency during repetitive tasks, meeting tight project deadlines, and adapting to evolving annotation guidelines. To address these issues, it’s helpful to take regular short breaks to stay focused, participate actively in team training sessions, and communicate any uncertainties with supervisors or team leads. Collaborating with peers to review and discuss edge cases can also improve annotation quality and create a supportive work environment.

What are Summer Data Annotation Specialists?

Summer Data Annotation Specialists are temporary workers, often students, hired during the summer to label and categorize data for use in machine learning projects. Their tasks typically involve tagging images, transcribing audio, or classifying text, helping to create high-quality datasets that train AI systems. These roles require attention to detail, basic computer skills, and the ability to follow specific guidelines. Summer Data Annotation Specialists play a crucial part in improving the accuracy and effectiveness of artificial intelligence models.

What is the difference between Summer Data Annotation Specialist vs Summer Data Labeler?

AspectSummer Data Annotation SpecialistSummer Data Labeler
CredentialsHigh school diploma or equivalent; some roles may prefer basic technical skillsHigh school diploma or equivalent; minimal formal requirements
Work EnvironmentRemote or on-site, often in tech or AI companiesPrimarily remote or on-site data labeling tasks
Industry UsageUsed in AI, machine learning, and data science projectsCommon in data preparation for AI and machine learning

The Summer Data Annotation Specialist typically involves more complex annotation tasks and may require some technical understanding, whereas the Summer Data Labeler focuses on basic labeling tasks. Both roles support AI development but differ in complexity and responsibilities.

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Summer Data Annotation Specialist jobs near you

Data Annotation Specialist

Bot Auto

Houston, TX • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with autonomous trucks. The Data Annotation Specialist will be responsible for creating, refining, and validating ground-truth data for the company's perception and mapping stacks.
Responsibilities:
• 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.).
• Vectorized Map Annotation: Annotate and edit high-definition vectorized map elements, including lane geometries, traffic signals, and regulatory features.
• Human-in-the-Loop Refinement: Examine and refine autolabeling results, identifying edge cases where automated systems may falter.
• Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only the highest quality data enters our training pipelines.
• Cross-Functional Feedback: Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling guidelines and tool improvements.
• Documentation: Assist in maintaining clear and concise labeling SOPs (Standard Operating Procedures) to ensure consistency across the data operations team.
Qualifications:
Required:
• Extreme Attention to Detail: A proven track record of identifying small discrepancies in complex datasets or visual environments.
• Communication Skills: Outstanding verbal and written communication abilities; ability to clearly explain complex visual scenarios to technical teams.
• Technical Aptitude: Comfortable working with proprietary software tools and navigating 3D environments (Point Clouds/Bird’s Eye View).
• Adaptability: Ability to thrive in a fast-paced startup environment and pivot between perception and mapping tasks as project priorities shift.
• Professionalism: High degree of self-discipline and the ability to work independently while meeting rigorous quality and throughput targets.
Preferred:
• Prior experience in data annotation for autonomous driving, robotics, or computer vision.
• Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras).
• Experience with 3D labeling tools.
• Familiarity with HD maps.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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