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Data Annotation Jobs in Imperial, PA (NOW HIRING)

Actalent

Software Perception Engineer

Pittsburgh, PA · On-site

Experience participating in iterative machine learning training cycles, including data annotation and performance tuning. * A passion for innovation and problem-solving in robotics and perception.

Motional

Staff Front End Engineer

Pittsburgh, PA · On-site +1

$172K - $229K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows * Build mission-critical UI systems used by a variety of ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

... data into useful features for classification algorithms, as well as implement the latest technology ... 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

... data into useful features for classification algorithms, as well as implement the latest technology ... 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

... data into useful features for classification algorithms, as well as implement the latest technology ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

JCSI

Molecular Technologist

West Mifflin, PA · On-site

$57K - $85K/yr

... data to ensure analytical accuracy and compliance with quality standards * Perform routine quality control review, documentation, and laboratory record maintenance * Assist with annotation and ...

All JobsData Annotation JobsData Annotation Jobs in Imperial, PA

Data Annotation information

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What job categories do people searching Data Annotation jobs in Imperial, PA look for?

The top searched job categories for Data Annotation jobs in Imperial, PA are:

What cities near Imperial, PA are hiring for Data Annotation jobs?

Cities near Imperial, PA with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Imperial, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Triage Analyst - Autonomous Vehicle Systems (Onsite)

TRUCKING PEOPLE

Pittsburgh, PA • On-site

$30 - $34/hr

Contractor

Re-posted 27 days ago

Job description

Triage Analyst - Autonomous Vehicle Systems (Onsite)
Location: Pittsburgh, PA, United States (Onsite)
Compensation: $30.00 - $34.00/hour
Schedule: Full-time, 30+ hours per week
Contact role | Two -stage onsite interview
Position Overview
We are hiring a skilled Triage Analyst to support Autonomy, Operations, and System Performance teams. This role is responsible for reviewing, annotating, classifying, and reporting on autonomous vehicle (AV) events derived from real-world driving and simulation data.
This is a fully onsite position. Candidates must be located in or able to commute to Pittsburgh, PA.
Key Responsibilities
  • Review and analyze events of interest from real-world autonomous driving and simulation environments
  • Annotate and label AV events with contextual metadata in accordance with Triage Policies and Operational Guidelines
  • Classify events by issue type, severity, and priority
  • Utilize data visualization and review tools, including video, numerical, and textual datasets
  • Collaborate with Autonomy Engineering, Operations, and Analytics teams
  • Generate, analyze, and present quantitative and qualitative performance reports
  • Ensure consistent and accurate application of documentation, workflows, and quality standards
  • Support operational triage processes critical to autonomous vehicle system validation

Required Qualifications (Must Have)
  • Strong analytical and problem-solving skills with the ability to apply complex operational or technical guidelines
  • Experience working in data analysis, operations, quality review, or technical annotation roles
  • Proficiency with Google Workspace / G Suite (Sheets, Docs, Slides) or equivalent productivity tools
  • Experience producing structured reports and performance summaries
  • Strong written and verbal communication skills
  • Ability to work effectively in a cross-functional, collaborative environment
  • High attention to detail and accuracy in policy-driven workflows

Preferred Qualifications (Nice to have)
  • Prior experience as a Triage Analyst, Data Annotation Analyst, Labeling Analyst, QA Analyst, or similar role
  • Experience within autonomous vehicles (AV), robotics, ADAS, or intelligent transportation systems
  • Familiarity with 2D/3D visualization, modeling, or simulation tools
  • Experience using custom internal web-based tools or operational platforms
  • Background in engineering support, operations analytics, or system performance analysis

How to Apply
Submit your updated CV and complete the screening questions. Qualified candidates will be contacted quickly through our automated response.
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About Trucking People

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Trucking People, based in Houston, TX, US, operates within the transportation and logistics industry. The company primarily focuses on providing reliable trucking services across the country. Though the exact date of establishment is not explicitly mentioned, Trucking People has managed to secure a reputable position within the industry. The company's mission is to facilitate smooth logistics for businesses by ensuring the timely and safe delivery of goods.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Houston, TX, US

Year founded

2017

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