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Data Annotation Finance Jobs in California (NOW HIRING)

YO AI Labs

AI Finance Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

San Francisco, CA · Remote

$100 - $200/hr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Agility Robotics

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Secure and allocate funding for specialized datasets and data annotation services. * Evaluate and procure necessary software licenses and tools for AI development and simulation. * Regularly report ...

HumanSignal

Director of Finance

San Francisco, CA · On-site

... data creation to annotation to delivery. We design and create datasets from scratch, recruit and ... About the Role We're hiring a Director of Finance to own the financial backbone of HumanSignal, the ...

HumanSignal

Director of Finance

San Francisco, CA · On-site

... data creation to annotation to delivery. We design and create datasets from scratch, recruit and ... About the Role We're hiring a Director of Finance to own the financial backbone of HumanSignal, the ...

Medix

Healthcare Operations Manager

San Francisco, CA · On-site

$75/hr

Experience in remote data annotation or AI model evaluation a plus. Schedule / Shift Must commit to ... financial and other payment data, and working within departments that care for vulnerable ...

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Infographic showing various Data Annotation Finance job openings in California as of June 2026, with employment types broken down into 65% Full Time, 28% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engine & Annotation Systems Engineer

Simbe Robotics

San Francisco, CA • On-site

$120K - $155K/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 Data Engine & Annotation Systems Engineer to own the systems, workflows, and tooling that power high quality training data for our computer vision models. This role goes beyond annotation coordination. You will help build the data engine behind Simbe's AI platform: model assisted labeling, data quality checks, annotation guidelines, error mining, dataset versioning, active learning, and evaluation workflows that improve model performance and accelerate customer value.

Why This Role Is High Impact
  • You will help create the feedback loop that makes Simbe's AI systems better every week.
  • You will improve the quality, speed, and reliability of data used to train and evaluate production models.
  • You will work across human annotation, automation, model outputs, QA, and customer impact.
Responsibilities
  • Own annotation systems and workflows. Oversee and improve image and video annotation workflows, including task setup, guideline creation, quality control, edge case handling, and throughput monitoring.
  • Build data engine tooling. Develop Python, web, and automation tools that make it easier to request annotations, review results, clean data, export datasets, and evaluate model performance.
  • Improve data quality. Design checks that identify inconsistent labels, oversized or undersized boxes, missing annotations, duplicate data, class imbalance, and other issues that can degrade model performance.
  • Integrate model assisted workflows. Evaluate and integrate auto annotation, pre labeling, active learning, hard case mining, and model in the loop review systems to improve annotation efficiency.
  • Support dataset versioning and evaluation. Partner with CV engineers to maintain reliable datasets, evaluation splits, benchmark views, and release readiness workflows.
  • Coordinate across teams. Work with annotation teams, Computer Vision, Product, Customer Success, and Data teams to make sure annotation systems support current customer priorities and future product needs.
  • Measure and improve performance. Track annotation quality, turnaround time, capacity, cost, rework rates, and model impact to improve the operating system for data creation.
Required Qualifications
  • 3+ years of experience in software engineering, data tooling, ML data operations, annotation systems, data QA, or related technical work.
  • Strong Python skills, including experience building scripts, data workflows, APIs, or internal tools.
  • Comfort with Bash, Linux, Git, and production debugging workflows.
  • Experience with web frontend or full stack development for internal tools.
  • Strong communication skills and ability to create clear annotation guidelines, documentation, and process improvements.
  • High attention to detail and a strong understanding of how data quality affects model quality.
  • Ability to coordinate across technical and operational teams while still writing code and improving systems.
Bonus Qualifications
  • Experience with CVAT, FiftyOne, Labelbox, Scale, Roboflow, Supervisely, or similar annotation and dataset tools.
  • Experience with image, video, robotics, retail, autonomous vehicle, industrial inspection, or sensor data annotation.
  • Experience with active learning, auto labeling, synthetic data, evaluation dashboards, or dataset versioning.
  • Experience with object detection, segmentation, OCR, barcode localization, or other computer vision workflows.
  • Experience managing external annotation vendors or distributed annotation teams.
$120,000 - $155,000 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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