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Full Time Annotation Jobs in Madison, PA (NOW HIRING)

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

All JobsAnnotation JobsFull Time Annotation JobsFull Time Annotation Jobs in Madison, PA

Full Time Annotation information

See Madison, PA salary details

$35.5K

$68.7K

$112.3K

How much do full time annotation jobs pay per year?

As of Aug 25, 2026, the average yearly pay for full time annotation in Madison, PA is $68,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $80,500.00 per year, depending on experience, location, and employer.

What is a full time annotation?

A Full Time Annotation job involves labeling and categorizing data, such as images, text, audio, or video, to help train machine learning models. Annotators carefully tag or highlight specific information in datasets, following detailed guidelines to ensure accuracy. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing, where high-quality labeled data is crucial for model performance. Full Time Annotation positions typically require attention to detail, consistency, and sometimes familiarity with specialized tools or subject matter.

What are the key skills and qualifications needed to thrive as a full time annotation specialist, and why are they important?

To excel as a Full Time Annotation Specialist, you need keen attention to detail, strong analytical skills, and a solid understanding of data labeling concepts, often supported by a relevant degree or prior experience in data-related roles. Familiarity with annotation platforms, data management tools, and sometimes scripting languages like Python is commonly required. Strong communication, time management, and the ability to focus on repetitive tasks help individuals stand out in this position. These skills are essential to ensure high-quality, accurate data annotations that directly impact the performance of AI and machine learning models.

What are some common challenges faced in a full time annotation role, and how can they be addressed?

Full-time annotation professionals often encounter challenges such as maintaining consistency and accuracy across large datasets, managing repetitive tasks, and meeting tight deadlines. These challenges can be addressed by developing a strong attention to detail, regularly cross-checking work, and utilizing annotation guidelines provided by the employer. Additionally, collaborating with team members and participating in quality assurance reviews helps ensure high standards and reduces errors. Many organizations offer training and feedback sessions to support continuous improvement and professional growth in this role.

What is the difference between Full Time Annotation vs Part Time Annotation?

AspectFull Time AnnotationPart Time Annotation
Work HoursTypically 40 hours/weekFewer hours, flexible schedule
CredentialsBasic training, attention to detailSame as full time, often same requirements
Work EnvironmentOffice or remote, consistent scheduleFlexible, part-time settings
Employer UsageFull-time positions in tech companies, AI firmsPart-time roles, freelance or contract basis

Full Time Annotation involves working a standard full-time schedule with consistent hours, often in a dedicated work environment, suitable for those seeking stable employment. Part Time Annotation offers flexible hours, ideal for individuals balancing other commitments or seeking supplemental income. Both roles require similar skills and training but differ mainly in hours and employment structure.

What cities near Madison, PA are hiring for Full Time Annotation jobs?

Cities near Madison, PA with the most Full Time Annotation job openings:

Full Time Annotation jobs near you
Infographic showing various Full Time Annotation job openings in Madison, PA as of July 2026, with employment types broken down into 14% Locum Tenens, 18% Full Time, 16% Part Time, 18% Contract, 31% Nights, and 3% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $68,681 per year, or $33 per hour.

Staff AI Engineer, Perception

Agility Robotics

Pittsburgh, PA • On-site

$207K - $323K/yr

Full-time

Re-posted 4 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms.

Responsibilities:

  • As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production
  • Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation
  • Evaluate and drive adoption of state-of-the-art perception models
  • Promote best practices in architecture, design, and testing to deliver high-quality, scalable software
  • Optimize deep neural networks and associated data processing to run efficiently on embedded systems
  • Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements

Requirements:

  • 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role
  • Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems
  • Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation
  • Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision
  • Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc.
  • Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures
  • Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)

Bonus Qualifications:

  • Experience using YOLO, Faster/Mask R-CNN
  • Experience developing ML models for 3 or 6 dof pose estimation

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Salary Range
$207,000—$323,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.