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Full Time Ai Tagging Jobs (NOW HIRING)

Phillips 66

Senior AI Readiness Engineer

Houston, TX · On-site

$140K - $171K/yr

Configure metadata tagging, metadata validation, lineage integration, quality monitoring, and ... Benefits for certain eligible, full-time employees include: * Annual Variable Cash Incentive ...

Phillips 66

Senior AI Readiness Engineer

Bartlesville, OK · On-site

$140K - $171K/yr

Configure metadata tagging, metadata validation, lineage integration, quality monitoring, and ... Benefits for certain eligible, full-time employees include: * Annual Variable Cash Incentive ...

Phillips 66

Senior AI Readiness Engineer

Houston, TX · On-site

$140K - $171K/yr

Configure metadata tagging, metadata validation, lineage integration, quality monitoring, and ... Benefits for certain eligible, full-time employees include: * Annual Variable Cash Incentive ...

QualX Corporation

AI Developer

Springfield, VA · On-site

$100K - $125K/yr

... Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance ... review, metadata tagging, digitization workflows, and compliance with DoD and Federal records ...

Booz Allen Hamilton

AI/ML Engineer, Junior

Wharton, NJ · On-site

$55K - $126K/yr

As part of our team, you'll help prepare datasets by labeling images, tagging objects, and applying ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Junior

Wharton, NJ · On-site

$55K - $126K/yr

As part of our team, you'll help prepare datasets by labeling images, tagging objects, and applying ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Full Time Ai Tagging information

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How much do full time ai tagging jobs pay per year?

As of Aug 9, 2026, the average yearly pay for full time ai tagging in the United States is $78,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $88,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time AI tagging specialist?

To thrive as a Full-Time AI Tagging Specialist, you need strong attention to detail, data annotation skills, and familiarity with basic computer operations, often supported by a relevant degree or prior experience in data labeling. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, and knowledge of data management systems, are typically required. Diligence, consistency, and effective communication help ensure high-quality, accurate labeling and smooth collaboration with development teams. These skills are crucial because precise data tagging directly influences the performance and reliability of AI models.

What are some common challenges faced by professionals in a full time AI tagging role, and how can they be managed?

Professionals in full-time AI tagging roles often encounter challenges such as repetitive tasks, maintaining high accuracy under tight deadlines, and adapting to evolving data labeling guidelines. Staying attentive to detail and following clear documentation can help mitigate errors, while using productivity tools and taking regular breaks can combat fatigue. Regular communication with team leads or quality assurance specialists is also crucial to clarify ambiguities and ensure consistent tagging standards.

What is a full time AI tagging job?

A Full Time AI Tagging job involves labeling or annotating data—such as images, text, or audio—so that artificial intelligence (AI) systems can learn from it. This work is essential in training machine learning models to recognize patterns and make accurate predictions. Taggers follow specific guidelines to ensure consistency and accuracy in the data, often using specialized software tools. The role may also include reviewing or quality-checking tags created by others, making it a critical part of the AI development process.
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What cities are hiring for Full Time Ai Tagging jobs? Cities with the most Full Time Ai Tagging job openings:
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Full Time Ai Tagging jobs near you
Infographic showing various Full Time Ai Tagging job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $78,135 per year, or $37.6 per hour.

Senior, Engineering Manager - Perception & Auto-Tagging

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
You'll lead the Offline Perception team within Data Loop and Simulation. The team explores the advantages of offline processing - building auto-labeling pipelines that combine different models and data-processing approaches to produce multi-modal, high-quality training data (2D, 3D, semantic segmentation, dense depth, and related modalities) that feeds online perception model development across Torc. You'll own strategy and execution for this data-to-model path, partnering with auto-tagging, data delivery, human annotation, and autonomy stakeholders on priorities, quality, and delivery.
What You'll Do
  • Lead, grow, and set technical direction for the Offline Perception team - hiring, mentoring, and managing the performance and career growth of engineers and ML engineers.
  • Own the roadmap for offline perception model development and evaluation, from curated datasets through training, benchmarking, and delivery to downstream consumers.
  • Stay technical enough to review and guide architecture decisions across auto-labeling integration, offline perception training and evaluation, and large-scale data pipeline design.
  • Represent the team to senior leadership and cross-functional stakeholders in perception, simulation, and systems - translating strategy into concrete execution plans.
  • Partner with product and peer engineering leaders (including auto-tagging, data delivery, and human annotation) to prioritize the roadmap and resolve cross-team dependencies.
  • Drive process and quality improvements across the offline perception lifecycle - dataset specs, evaluation methodology, and repeatable delivery of production-grade training data.
  • Manage team health and staffing, balancing headcount and skill mix between ML/perception engineering and data pipeline / AI infrastructure needs.

What You'll Need to Succeed
  • BS or MS in Computer Science, Robotics, Electrical Engineering, or a related field, plus 8+ years of software or ML engineering experience, including 2+ years managing engineers.
  • Hands-on experience with auto-labeling for self-driving development - not just model research, but pipelines that produce usable labels at scale.
  • Track record delivering large-scale perception datasets in production contexts - e.g. 2D OD, 3D OD, semantic segmentation, dense depth, and related modalities - with clear quality and delivery ownership.
  • Breadth across perception models and modalities - practical familiarity with different model families, what each is good for, and where they break down (accuracy, scale, latency, annotation cost, generalization).
  • Experience with AI infrastructure and data pipelines - distributed compute and data platforms (e.g. Databricks, Ray, Spark), cloud infrastructure (e.g. AWS), and the tooling needed to train and evaluate at fleet scale.
  • Proven track record leading and scaling technical teams, including hiring, mentoring, and performance management.
  • Experience setting technical strategy and roadmap for ML or data engineering teams, and communicating tradeoffs to senior leadership.
  • Strong communication skills, with the ability to represent team strategy to leadership and peer engineering teams.

Bonus Points!
  • Experience leading ML or data engineering teams in autonomous vehicles or robotics.
  • Familiarity with VLMs, auto-labeling pipelines, or perception model evaluation methodology.
  • Experience managing managers or leading multiple teams simultaneously.
  • Familiarity with scenario description standards such as Pegasus layers.

Perks of Being a Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102835
Hiring Range for Job Opening
US Pay Range
$195,500-$234,600 USD

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