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Assistant Ai Labeling Jobs in Texas (NOW HIRING)

Job Summary : Tesla is a leading company in the electric vehicle and AI space, seeking a Data ... communicate labeling concepts effectively, labeling inefficiencies, assist in creating ...

Implement and manage sensitivity labels, data classification, and ML-based auto-classification ... Develop security automation, detection rules, and monitoring dashboards for AI workloads. * Assist ...

Facilitate and assist in evaluation, prototyping, and rollout of AI platforms, coordinating with IT ... sensitivity labels, DLP, and permission scoping, and how these impact AI-driven solutions.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... labeling. * Lead design reviews with ME, Quality, Safety, and Launch teams; perform human-factors ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... labeling. * Lead design reviews with ME, Quality, Safety, and Launch teams; perform human-factors ...

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Assistant Ai Labeling information

What is an assistant AI labeling?

Assistant AI Labeling jobs involve reviewing, tagging, and categorizing data such as images, text, or audio to help train artificial intelligence and machine learning models. These roles are essential because accurate labeling ensures that AI systems can learn to recognize patterns and make decisions effectively. Tasks may include drawing bounding boxes around objects in images, transcribing spoken words, or classifying text according to given guidelines. The work is often done using specialized software and requires attention to detail as well as consistency. Assistant AI Labelers may work remotely or in-house for tech companies, research organizations, or data annotation firms.

What are the key skills and qualifications needed to thrive as an assistant AI labeling?

To thrive as an Assistant AI Labeling Specialist, you need strong attention to detail, accuracy, and an understanding of data annotation practices, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming languages like Python is beneficial. Dependability, time management, and the ability to follow complex instructions are crucial soft skills for excelling in this role. These skills ensure high-quality labeled data, which is vital for training accurate and reliable AI models.

What are some common challenges faced by assistant AI labeling professionals, and how can they be addressed?

Assistant AI Labeling professionals often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially with ambiguous or subjective cases. To address these challenges, most teams implement clear annotation guidelines, regular training sessions, and peer review processes to ensure high-quality outputs. Collaboration with data scientists and project managers is also key, as open communication helps clarify uncertainties and align labeling practices with project goals. Embracing feedback and staying flexible as guidelines evolve can further enhance both the quality of work and job satisfaction in this role.

What is the difference between Assistant Ai Labeling vs Data Annotator?

AspectAssistant Ai LabelingData Annotator
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentRemote or office-based; collaborative with AI teamsPrimarily remote; focused on data labeling tasks
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics
Search & Comparison IntentUnderstanding roles supporting AI trainingData labeling and annotation tasks for AI models

Assistant Ai Labeling involves supporting AI systems by labeling data, often requiring some technical understanding. Data Annotator focuses on labeling data to prepare datasets for AI training. Both roles are essential in AI development, with overlapping skills but different focus areas.

What are the most commonly searched types of Ai Labeling jobs in Texas?

The most popular types of Ai Labeling jobs in Texas are:

What are popular job titles related to Assistant Ai Labeling jobs in Texas?

For Assistant Ai Labeling jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Assistant Ai Labeling jobs in Texas look for?

The top searched job categories for Assistant Ai Labeling jobs in Texas are:

What cities in Texas are hiring for Assistant Ai Labeling jobs?

Cities in Texas with the most Assistant Ai Labeling job openings:

AI Quality Technician Labeler (Part-Time)

Midland, TX • On-site

AST SpaceMobile
Telecommunications • 51 - 200 employees

$17.75 - $23.75/hr

Full-time

Re-posted 26 days ago


Job description

Job Summary:
AST SpaceMobile is building the first global cellular broadband network in space, aiming to eliminate connectivity gaps for billions of mobile subscribers. They are seeking a part-time AI Quality Technician Labeler to label imagery for spacecraft components and assist in training AI models, ensuring high accuracy and consistency in labeling tasks.
Responsibilities:
• Label images and short video clips of spacecraft components, sub-assemblies, and assembly steps using AST’s in-house computer-vision labeling software
• Apply bounding boxes, polygons, segmentation masks, keypoints, and classification tags according to AST’s labeling guidelines and ontology
• Maintain a high level of accuracy and consistency across labeling tasks, meeting throughput and quality targets set by the AI Lab Manager
• Flag ambiguous, defective, or unusual images for review by quality inspectors, engineers, or data scientists
• Participate in calibration sessions, inter-rater agreement reviews, and ontology refinement discussions
• Follow all AI Lab security and operations rules, including no personal cell phones, cameras, personal electronics, or removable storage media in the lab
• Maintain accurate logs of completed work batches, time on task, and any issues encountered
• Partner with the AI Lab Manager and quality inspectors during on-floor image-capture sessions when required
Qualifications:
Required:
• High school diploma or equivalent
• Strong attention to detail and ability to maintain accuracy on repetitive visual tasks for sustained periods
• Basic computer literacy: comfortable using a mouse, keyboard, and web-based or desktop labeling tools
• Ability to follow written instructions, ontologies, and quality guidelines closely
• Ability to be physically on-site in Midland, TX for the agreed part-time schedule
• Willingness to comply with strict no-personal-electronics, no-photography, and no-removable-media lab rules
• Must be legally authorized to work in the United States
Preferred:
• Prior experience with image annotation, data labeling, or QA work
• Familiarity with labeling tools such as CVAT, Labelbox, Scale, or similar platforms
• Background in manufacturing quality, optical inspection, photography, or technical documentation
• Interest in AI, computer vision, robotics, or aerospace
• Coursework or certificate in computer technology, drafting, electronics, or related field
Company:
AST SpaceMobile is a space-based broadband cellular network company for unmodified mobile devices. Founded in 2017, the company is headquartered in Midland, USA, with a team of 501-1000 employees. The company is currently Late Stage.