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Data Annotation Jobs in Pittsburg, CA (NOW HIRING)

HumanSignal

Operations Associate

San Francisco, CA · On-site

$70K - $90K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

HumanSignal

Operations Associate

San Francisco, CA · On-site

$70K - $90K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

HumanSignal

Operations Associate

San Francisco, CA

$70K - $90K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation - delivering the datasets that frontier AI research requires and remote ...

Watney

Teleoperations Lead

San Francisco, CA · On-site

$120K - $159K/yr

... data annotation etc.) at a consulting firm or technology company * Strong data analysis skills and comfort with messy real-world data * Clear written and verbal communication skills * Willingness to ...

Sieve, Inc

Product Operations Lead

San Francisco, CA · On-site

  • Medical

  • Retirement

Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review * Build and improve QA processes to ensure data output meets the standards required by ...

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements. Spearhead the ...

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All JobsData Annotation JobsData Annotation Jobs in Pittsburg, CA

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 are the most commonly searched types of Data Annotation jobs in Pittsburg, CA?

The most popular types of Data Annotation jobs in Pittsburg, CA are:

What are popular job titles related to Data Annotation jobs in Pittsburg, CA?

For Data Annotation jobs in Pittsburg, CA, the most frequently searched job titles are:

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The top searched job categories for Data Annotation jobs in Pittsburg, CA are:

What cities near Pittsburg, CA are hiring for Data Annotation jobs?

Cities near Pittsburg, CA with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Pittsburg, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Computer Vision / Applied AI Engineer

Simbe Robotics

San Francisco, CA • On-site

$160K - $200K/yr

Full-time

Posted 15 days ago

Job description

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity.
Simbe is looking for a Senior Computer Vision / Applied AI Engineer to build production AI systems that turn store imagery into trusted retail intelligence. This role will work across dense product detection, price tag and promo tag detection, OCR, barcode decoding, product association, segmentation, visual search, model evaluation, and customer specific model improvements. The right person isa strong ML engineer, an exceptional software engineer, and a practical builder who enjoys messy real world data, rapid iteration, and measurable customer impact.
Why This Role Is High Impact
  • You will work on dense, cluttered, real world visual scenes where accuracy directly drives customer value.
  • You will help improve core Simbe use cases such as out of stock detection, price accuracy, promo compliance, top stock, and product location intelligence.
  • You will work on the full model lifecycle: data, annotation quality, training, evaluation, release, monitoring, and production debugging.

Responsibilities
  • Build production CV models. Design, train, validate, and deploy models for object detection, segmentation, OCR, barcode localization, product recognition, shelf understanding, and other customer facing computer vision tasks.
  • Own dataset quality. Curate, clean, version, and analyze large real world training datasets, including hard negative mining, annotation QA, data audits, and active learning workflows.
  • Improve model performance. Research and implement model architecture, loss function, data augmentation, synthetic data, and evaluation improvements that increase precision, recall, latency, and robustness across customers.
  • Support model releases. Contribute to model validation, release gates, inference wrappers, ONNX/TensorRT exports, and production monitoring so models are reliable in customer environments.
  • Develop tooling. Build internal tools for model evaluation, annotation review, error mining, data visualization, dataset exports, and deployment readiness.
  • Partner cross functionally. Work closely with Product, Customer Success, Data, Robotics Software, and Field Operations to turn customer issues into model and pipeline improvements.
  • Stay current. Track modern work in open vocabulary detection, promptable segmentation, multimodal product understanding, visual search, OCR, and edge inference, and evaluate where it can create value for Simbe.

Required Qualifications
  • 5+ years of experience in computer vision, applied machine learning, robotics perception, or related production AI systems.
  • Strong Python experience and hands on experience with PyTorch or TensorFlow.
  • Demonstrated experience using AI-assisted coding and automation tools to accelerate software development, debugging, experimentation, and engineering workflows, with strong judgment around validating and reviewing AI-generated output.
  • Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models.
    Strong understanding of dataset curation, annotation quality, model evaluation, error analysis, and experimentation.
  • Experience building maintainable production code and data pipelines in a Linux based environment.
  • Ability to balance research quality with production constraints such as latency, compute, memory, robustness, and ease of deployment.
  • Strong communication skills and a customer value mindset.

Bonus Qualifications
  • Experience with retail, product recognition, shelf intelligence, OCR, barcode decoding, fine grained recognition, or visual product search.
  • Experience with ONNX, TensorRT, CUDA, quantization, model profiling, or edge deployment.
  • Experience with C++, ROS/ROS2, RGBD cameras, 3D geometry, homography, calibration, or robotic perception.
  • Experience with FiftyOne, CVAT, Labelbox, Roboflow, or other data centric ML tools.
  • Experience with synthetic data generation, simulation, active learning, or automated annotation workflows.
  • Publications, patents, open source contributions, or production systems in relevant CV/AI domains.

$160,000 - $200,000 a year
The base salary offered is based on market location and may vary depending on individualized factors for job candidates, including job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include equity compensation, in addition to a full range of medical, financial, and other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Simbe Values: R. E. T. A. I. L.
  • Result Driven - We are customer centric and results driven. We strive to create immense value for our team, partners, customers, and investors.
  • Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
  • Transparent - We value open communication internally, and with our partners and customers. We are receptive to feedback.
  • Agile - We are eager to learn and adapt quickly to changes and customer needs.
  • Innovative - We are bold and innovative, with an intense focus on product design, user experience, and customer value.
  • Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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