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Data Annotation Tech Remote Jobs in Pittsburgh, PA

Huntington

Application Architect (IT)

Pittsburgh, PA · On-site +1

The role also ensures strong data governance, system performance, and alignment with downstream ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Application Architect (IT)

Pittsburgh, PA · On-site +1

$70K - $140K/yr

The role also ensures strong data governance, system performance, and alignment with downstream ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Ectobox Inc.

IIoT Engineer (Remote)

Pittsburgh, PA · Remote

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... In our solutions we use open technologies, integrate data with a structured Unified Namespace ...

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Data Annotation Tech Remote information

See Pittsburgh, PA salary details

$11

$22

$33

How much do data annotation tech remote jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data annotation tech remote in Pittsburgh, PA is $22.18, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $26.39 per hour, depending on experience, location, and employer.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are popular job titles related to Data Annotation Tech Remote jobs in Pittsburgh, PA?

For Data Annotation Tech Remote jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in Pittsburgh, PA look for?

The top searched job categories for Data Annotation Tech Remote jobs in Pittsburgh, PA are:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,126 per year, or $22.2 per hour.

Software Engineering Manager - AI Data Engine

Motional

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 20 days ago

Job description

Mission Summary:

We are seeking an experienced and visionary Staff Level Technical Lead Manager to build and lead our new AI Data Engine team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and our data warehouse stack. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future!
You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements.

What You'll Be Doing:

  • Team Leadership & Management:
    • Build, lead, and manage a high-performing team of data and infrastructure engineers focused on building out Motional's Data Stack.
    • Define team goals, priorities, and roadmap in alignment with company objectives.
    • Provide technical guidance, mentorship, and career development opportunities to team members.
  • Technical Strategy & Execution:
    • Define the technical vision and strategy for storing metrics and generating ML datasets for large computer vision and behavioral models. 
    • Identify and evaluate cutting-edge technologies and methodologies for speeding up data loaders for training, ingestion of metrics, and querying of large datasets for everything from dashboards to training.
  • Cross-functional Collaboration:
    • Collaborate closely with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions seamlessly.
    • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.

What We're Looking For:

  • Experience:
    • BS or MS in Computer Science or related field
    • 8+ years of professional experience in data platform engineering
    • 3+ years of experience in a technical lead or management role with 3-7 direct reports
    • Extensive experience with managing large (petabyte plus) scale data platforms such as data warehouses, object storage, and ML training data stores. 
    • Extensive experience with workflow orchestration frameworks such as Airflow or Step Functions.
  • Technical Skills:
    • Strong programming skills in Python. C++ experience is a plus. 
    • Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and understand their tradeoffs.
    • Strong knowledge of cloud infrastructure (AWS, GCP) solutions and their product offerings. 
    • Prior experience with building data warehouses or lakehouse architectures at a machine learning or robotics company.

Bonus Points (not required): 

  • Prior experience in autonomous vehicles (AV) is a plus.
  • Prior experience with Bazel based build systems.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply