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Human Resource Mining Jobs in San Ramon, CA (NOW HIRING)

Everforth, Cybercoders

Patent Agent - AI & SW

Palo Alto, CA · On-site

$100K - $200K/yr

  • Medical

  • Retirement

... invention mining and invention disclosure sessions -A strong team of technical and legal ... of our Human Resources team at Benefits@CyberCoders.com to make arrangements. Salary $100000 ...

Jobsbridge

Big Data Scientist

San Francisco, CA · On-site

RDMS along with Data Warehouse, Data Mart and Data Mining Data Modeling Tools: IBM Rational tools (InfoSphere Data Architect and Clear Case). Hadoop frameworks such as Hive, Sqoop, and Pig SQL, SQL ...

Walmart

(USA) Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

Walmart

(USA) Staff, Data Scientist

Hayward, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

Walmart

(USA) Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

Walmart

(USA) Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

Walmart

(USA) Staff, Data Scientist

Sunnyvale, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

Walmart

(USA) Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

NEFAB PACKAGING INC

Manufacturing Engineer

Newark, CA · On-site

$70K - $85K/yr

  • Retirement

  • PTO

Nefab saves environmental and financial resources by optimizing supply chains. We do this by ... Provide focused & effective leadership in eliminating EH&S/Ergonomics/Human Factors risks. * Able ...

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Showing results 21-40

All JobsHuman Resource Mining JobsHuman Resource Mining Jobs in San Ramon, CA

Human Resource Mining information

See San Ramon, CA salary details

$29.6K

$49.4K

$67.1K

How much do human resource mining jobs pay per year?

As of Aug 13, 2026, the average yearly pay for human resource mining in San Ramon, CA is $49,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $53,600.00 per year, depending on experience, location, and employer.

What is the difference between Human Resource Mining vs Human Resources Coordinator?

AspectHuman Resource MiningHuman Resources Coordinator
Required CredentialsBachelor's degree in HR, data analysis skillsBachelor's degree in HR or related field, communication skills
Work EnvironmentData-driven, analytical, often in HR or data teamsOffice setting, employee interaction, administrative tasks
Employer & Industry UsageUsed in organizations focusing on talent analytics and data miningCommon in HR departments for employee management
Search & Comparison IntentUnderstanding data-driven HR rolesHR administrative and coordination roles

Human Resource Mining focuses on analyzing HR data to uncover insights, requiring data analysis skills and a background in HR. Human Resources Coordinators handle employee relations, administrative tasks, and coordination within HR teams. While both roles are within HR, HR Mining is more analytical and data-focused, whereas HR Coordinators are more involved in daily employee management and administrative duties.

What are the key skills and qualifications needed to thrive as a human resource mining specialist?

To thrive as a Human Resource Mining Specialist, you need a solid background in data analysis, human resources practices, and a relevant degree such as HR, analytics, or business. Familiarity with HRIS systems, data mining tools (like Python, R, or SQL), and HR analytics platforms is typically required. Excellent communication, critical thinking, and problem-solving skills help you translate complex data insights into actionable HR strategies. These skills are essential for driving data-informed HR decisions that improve talent management, optimize workforce planning, and support organizational goals.

What are some of the main challenges faced by professionals working in human resource mining, and how can they be addressed?

Professionals in human resource mining often encounter challenges related to managing and analyzing large volumes of employee data while ensuring privacy and compliance with regulations. Another common challenge is integrating insights from data mining into practical HR strategies that align with organizational goals. To address these issues, it is important to stay updated on data privacy laws, use reputable HR analytics tools, and foster collaboration between HR, IT, and data science teams. Continuous training and clear communication can also help bridge the gap between technical and HR functions.

What is human resource mining?

Human Resource Mining refers to the process of using data analysis and mining techniques to extract valuable insights from HR data. This can include analyzing employee performance, turnover, recruitment, and engagement to support data-driven decision making in human resource management. By leveraging HR mining, organizations can identify trends, predict workforce needs, and improve overall organizational effectiveness. It often involves the use of specialized software and advanced analytics to interpret large volumes of HR data.
What are popular job titles related to Human Resource Mining jobs in San Ramon, CA? For Human Resource Mining jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Human Resource Mining jobs in San Ramon, CA look for? The top searched job categories for Human Resource Mining jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Human Resource Mining jobs? Cities near San Ramon, CA with the most Human Resource Mining job openings:
Human Resource Mining jobs near you
Infographic showing various Human Resource Mining job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $49,444 per year, or $23.8 per hour.

Data Engine & Annotation Systems Engineer

Simbe Robotics

San Francisco, CA • On-site

$120K - $155K/yr

Full-time

Posted 8 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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