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Full Time Machine Learning Data Annotation Jobs in Highland, CA

Data Manager

Moreno Valley, CA · On-site

$72K - $84K/yr

Associate Director of Data Operations Status : Full-time; Exempt Location : Hybrid - Inland Empire ... Continuously at the forefront of expanded learning opportunities, Woodcraft Rangers has a rich ...

Associate Director of Data Operations Status : Full-time; Exempt Location : Hybrid - Inland Empire ... Continuously at the forefront of expanded learning opportunities, Woodcraft Rangers has a rich ...

... and share spatial data, addressing real-world challenges. As a key member of our Desktop ... machine learning, computer hardware, and the business of software, to enhance your contributions to ...

Business Analyst I

Ontario, CA · On-site

$70K - $99K/yr

... for machine learning and AI model consumption, ensuring consistent definitions, governance ... Working knowledge of data analysis and reporting tools: Excel (pivot tables, lookups), and business ...

Business Analyst I

Ontario, CA · On-site

$70K - $99K/yr

... for machine learning and AI model consumption, ensuring consistent definitions, governance ... Working knowledge of data analysis and reporting tools: Excel (pivot tables, lookups), and business ...

... for machine learning and AI model consumption, ensuring consistent definitions, governance ... Working knowledge of data analysis and reporting tools: Excel (pivot tables, lookups), and business ...

Data Manager (Core or Inland Empire, based on assigned region) Status: Full-time; Non-Exempt ... Continuously at the forefront of expanded learning opportunities, Woodcraft Rangers has a rich ...

Data Coordinator

Moreno Valley, CA · On-site

$22 - $27/hr

Data Manager (Core or Inland Empire, based on assigned region) Status: Full-time; Non-Exempt ... Continuously at the forefront of expanded learning opportunities, Woodcraft Rangers has a rich ...

Product Engineer

Redlands, CA · On-site

$101K - $104K/yr

Write data science and machine learning samples using ArcGIS and open-source ecosystem * Author, maintain, and update unit tests and test assets and help maintain high-quality assurance standards ...

... data and IT infrastructure • Basic understanding of artificial intelligence/machine learning concepts • Programming and scripting experience with languages such as Python and JavaScript • ...

Senior Director, AI Innovation

Corona, CA · On-site

$270K - $310K/yr

Prefer a Bachelor's Degree in the field of -- Business, Computer Science, Artificial Intelligence (AI), Machine Learning (ML), Data Science, or related fields. Master's or MBA preferred * More than ...

Data Specialist

Norco, CA · On-site

$31.99/hr

Service Contract Act Time Type: Full time Minimum Clearance Required to Start: None Employee Type ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Data Specialist

Norco, CA · On-site

$31.99/hr

Job Title: Data Specialist Job Category: Service Contract Act Time Type: Full time Minimum ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

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Full Time Machine Learning Data Annotation information

See Highland, CA salary details

$37.2K

$121.9K

$195.2K

How much do full time machine learning data annotation jobs pay per year?

As of Jul 15, 2026, the average yearly pay for full time machine learning data annotation in Highland, CA is $121,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What cities near Highland, CA are hiring for Full Time Machine Learning Data Annotation jobs? Cities near Highland, CA with the most Full Time Machine Learning Data Annotation job openings:
Data Manager

Data Manager

Woodcraft Rangers

Moreno Valley, CA • On-site

$72K - $84K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Woodcraft Rangers rating

7.3

Company rating: 7.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

10th of 56 rated activity centers and activity clubs


Job description

Data Manager (Riverside, CA)
Reports To: Associate Director of Data Operations
Status: Full-time; Exempt
Location: Hybrid - Inland Empire: Riverside Office, with regular travel to program sites within the assigned region
Hours of Operation: Monday-Friday, 8:00 AM - 5:00 PM, with flexibility required during reporting cycles, audits, and program launches
Salary Range: Inland Empire: $72,000 - $84,000 annually (based on experience and qualifications)
Are you passionate about giving back to your community and making a lasting difference in the lives of young people?
Who We Are:
In 1922, Woodcraft Rangers opened its doors in Los Angeles and began its mission of guiding young people as they explore pathways to purposeful lives. As a progressive organization, Woodcraft has always been responsive to the evolving needs of the communities served, and is notably inclusive, youth-led, and rooted in the Woodcraft Way, a holistic framework that develops body, mind, spirit, and service. Continuously at the forefront of expanded learning opportunities, Woodcraft Rangers has a rich history of making a significant impact in the greater Los Angeles area, believing that all youth are innately good, deserve the opportunity to realize their full potential, and should be an active participant in defining their own path.
What We Do:
Woodcraft Rangers provides TK-12 expanded learning programs, including before and after school, specialty enrichment, and summer learning. In the past few years, Woodcraft has expanded its menu of services beyond traditional afterschool programs and summer camps to include early learning, environmental and social justice, college access, and inclusion services for youth with intellectual and developmental disabilities. Additionally, we offer LifeCraft, a college and career advancement program to support the development of approximately 2,250 staff. Today, Woodcraft Rangers serves more than 30,000 youth ages 4 to 18 each year across 150 plus Title I schools in Los Angeles, San Bernardino, and Riverside counties, and continues to expand its reach.
Ideal Candidate:
The ideal candidate is an experienced data operations professional who leads from both the strategic and the practical. They are confident running a regional data team, comfortable digging into exception reports, and skilled at coaching site staff through corrections without losing the relationship. They take pride in clean data, on-time submissions, and a team that feels supported. They understand that data work in expanded learning is people work - and they show up to district meetings, site visits, and team huddles ready to listen, problem-solve, and follow through. They believe in regional fit without regional silos, and they collaborate naturally with their peer Manager across regions to keep Core and IE operating from one shared data model.
Why Work for Woodcraft Rangers:
  • Competitive salary - see range above

  • Paid vacation & sick time - generous time off to recharge

  • Lifecraft program - free college & career advancement for all staff

  • Upward mobility - promote-from-within culture

  • Health, dental & vision - comprehensive benefits coverage

  • 403(b) retirement plan - invest in your future

  • Pet insurance - because your whole family matters

  • Mission-driven work - impact 30,000+ young people annually

Role Overview:
The Data Manager owns day-to-day data operations for their assigned region - either Inland Empire (IE) or Core (LA + SGV). Reporting to the Associate Director of Data Operations, the Data Manager supervises the regional Data Coordinator team, ensures attendance, enrollment, participant records, and partner system workflows are completed accurately and on time, and serves as the operational point of contact for regional data partners. The Manager owns regional data quality, leads coaching and training for site/program teams, and is the first line of escalation for site-level data issues. The Manager works in close partnership with their peer Manager in the other region to ensure Core and IE operate from one shared data model, escalating cross-regional patterns and risks to the Associate Director.
Responsibilities:
Regional Data Operations
  • Supervise the regional Data Coordinator team (one Coordinator) and manage day-to-day data operations for the assigned area.

  • Ensure attendance, enrollment, participant records, and partner system workflows are completed accurately and on time across all assigned sites.

  • Own regional operational reporting and data quality follow-up.

  • Review exception reports, monitor recurring data issues, and escalate patterns to the Associate Director.

  • Lead regional implementation of attendance, enrollment, and participant data workflows; support launch readiness, system setup, training, troubleshooting, and early issue resolution.

Team Leadership
  • Directly supervise the regional Data Coordinator team; conduct 1:1s, set performance expectations, and develop team capability.

  • Provide coaching, feedback, and ongoing professional development for Coordinators.

  • Lead on-boarding for new Coordinators in alignment with central standards.

Training & Site Support
  • Lead training and coaching for regional site and program teams on data processes, attendance systems, and partner system workflows.

  • Serve as the operational point of contact for site-level data questions, corrections, and process clarifications.

  • Build trusted working relationships with regional Program operational leads to ensure data workflows support program delivery.

Cross-Regional Consistency
  • Partner closely with the peer Data Manager in the other region to ensure Core and IE operate from one shared data model and consistent standards.

  • Surface regional patterns, capacity gaps, and expansion-related risks to the Associate Director.

  • Participate in cross-regional team meetings, standards setting, and reporting alignment work.

Compliance & Data Privacy
  • Ensure all regional data handling complies with FERPA, district data sharing agreements, and applicable student data privacy laws.

  • Support funder reporting cycles (ASES, 21st CCLC/ASSETs, ELOP, foundation funders) by ensuring regional data is accurate, complete, and submission-ready.

  • Maintain regional records that support internal reporting, partner reporting, and audit readiness.

Qualifications / Skills:
Required
  • 3-5 years of progressive experience in data operations, program data management, or a comparable role, including supervisory experience.

  • Working knowledge of expanded learning data systems (EZReports, Afterschool HQ, or comparable) and district SIS platforms (Aeries, Synergy, Infinite Campus, or comparable).

  • Familiarity with funder reporting requirements for ASES, 21st CCLC/ASSETs, ELOP, foundation funders, or comparable government/grant-funded programs.

  • Working knowledge of FERPA and student data privacy requirements.

  • Demonstrated experience coaching and training non-data staff (e.g., site coordinators, program staff) on data systems and workflows.

  • Strong attention to detail, problem-solving skills, and follow-through.

  • Proficiency in Excel and Microsoft 365.

  • Valid California driver's license and reliable transportation for regional site travel.

Preferred
  • Bachelor's degree in a related field, or equivalent professional experience.

  • Experience in a youth-serving nonprofit or expanded learning organization.

  • Bilingual (English/Spanish).

Physical Demands:
In compliance with the Americans with Disabilities Act (ADA), the following physical demands may be essential for the effective performance of this position. Reasonable accommodation will be considered to enable individuals with disabilities to perform these essential functions:
  • Prolonged periods of sitting at a desk and working on a computer.

  • Regular use of hands for various tasks, such as operating a computer and handling objects, is essential.

  • The ability to travel regularly across the Greater Los Angeles, San Gabriel Valley, and Inland Empire areas, using either a car or public transportation, is necessary on a weekly basis.

  • Frequent standing and walking during site visits.

  • Must be able to occasionally lift/move up to 25 pounds.

  • Reasonable accommodation is available for individuals with disabilities.

Work Environment:
We are committed to fostering an inclusive work environment and will actively consider reasonable accommodations to enable individuals to effectively perform their roles. This position operates in environments typical of the following key aspects:
  • Regular exposure to computer monitors during work.

  • The typical noise level of a standard work environment.

  • Stable internet access is required for effective work-from-home performance.

  • Hybrid schedule with in-office days at the assigned office location and remote work days; specific cadence determined by supervisor.

Woodcraft Rangers provides equal employment opportunities to all qualified applicants without discrimination with regard to race, religious belief, color, sex, sex stereotype, pregnancy, childbirth or related medical conditions (including breastfeeding), age, national origin, ancestry, sexual orientation, gender identification and expression, transgender status, transitioning status, physical or mental disability, medical condition, genetic characteristics, genetic information, family care, marital status, enrollment in any public assistance program, status as military, a veteran or qualified disabled veteran, status as an unpaid intern or volunteer, or any other classification protected by law. We also prohibit discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.

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