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Data Annotation Project Manager Jobs in Menifee, CA

Hubbell Incorporated

Field Project Manager

Corona, CA · On-site

$115K - $150K/yr

The AMI Project Manager holds responsibility for all aspects of a project including budgets, scope ... Our vertical market solutions can be applied to markets including Data Centers, Renewables ...

Bowhead

IT Project Manager

Corona, CA · On-site

$105K - $150K/yr

... data analytics, OR High school degree, or a GED, and seven(7) years of experience managing IT projects, reporting status of projects and the development of data analytics Proven ability to work on ...

Bowhead

IT Project Manager

Corona, CA · On-site

$105K - $150K/yr

... data analytics, OR • High school degree, or a GED, and seven(7) years of experience managing IT projects, reporting status of projects and the development of data analytics • Proven ability to ...

Centercode

Beta Project Manager

Mission Viejo, CA · On-site

$70K - $80K/yr

As a Beta Project Manager , you'll manage and support our customers' product tests (i.e., beta ... Support ongoing customer data needs (generating custom reports, etc.) * Study feedback to provide ...

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All JobsData Annotation Project JobsData Annotation Project Manager JobsData Annotation Project Manager Jobs in Menifee, CA

Data Annotation Project Manager information

See Menifee, CA salary details

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How much do data annotation project manager jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data annotation project manager in Menifee, CA is $60.85, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $71.20 per hour, depending on experience, location, and employer.

What is a data annotation project manager?

A Data Annotation Project Manager is responsible for overseeing projects that involve labeling and categorizing data, such as images, text, or audio, to train machine learning models. They coordinate teams of annotators, manage project timelines, and ensure the quality and accuracy of the annotated data. This role often acts as a bridge between data scientists, clients, and annotation teams, ensuring project requirements are met efficiently and effectively.

What are the key skills and qualifications needed to thrive as a data annotation project manager?

To thrive as a Data Annotation Project Manager, you need strong project management skills, a solid understanding of data annotation processes, and experience with quality assurance, often supported by a degree in a relevant field. Familiarity with annotation tools (like Labelbox or Supervisely), workflow management platforms, and sometimes agile or PMP certification is highly beneficial. Exceptional communication, attention to detail, and leadership abilities help you effectively coordinate teams and ensure project deliverables meet quality standards. These skills are essential for managing complex annotation projects efficiently, maintaining data integrity, and supporting successful machine learning outcomes.

What are some common challenges faced by data annotation project managers, and how can they be managed effectively?

One of the primary challenges Data Annotation Project Managers face is ensuring high-quality, consistent labeling across large and sometimes distributed annotation teams. Managing tight deadlines while maintaining annotation accuracy requires effective training, clear guidelines, and regular quality checks. Additionally, balancing communication between data scientists, clients, and annotators is crucial to align expectations and resolve ambiguities quickly. Successful managers often implement robust feedback loops, leverage annotation tools with built-in quality control features, and foster an open environment for continuous improvement.

What is the difference between Data Annotation Project Manager vs Data Labeling Specialist?

AspectData Annotation Project ManagerData Labeling Specialist
CredentialsTypically requires project management experience, certifications in data management or related fieldsOften requires basic technical skills, familiarity with labeling tools, sometimes certifications in data annotation
Work EnvironmentOversees teams, manages projects, coordinates workflows in office or remote settingsPerforms labeling tasks, often in a remote or on-site environment, focused on data tagging
Employer & Industry UsageUsed by tech companies, AI firms, and data service providers for managing annotation projectsEmployed within similar industries, focusing on executing labeling tasks under supervision

The main difference is that the Data Annotation Project Manager oversees and coordinates annotation projects, ensuring quality and deadlines, while the Data Labeling Specialist focuses on executing the labeling tasks themselves. Both roles are essential in the data annotation process but differ in responsibilities and scope.

What job categories do people searching Data Annotation Project Manager jobs in Menifee, CA look for?

The top searched job categories for Data Annotation Project Manager jobs in Menifee, CA are:

What cities near Menifee, CA are hiring for Data Annotation Project Manager jobs?

Cities near Menifee, CA with the most Data Annotation Project Manager job openings:

Data Annotation Project Manager jobs near you

Biology Research Scientist (Remote | $80 -$110/hr)

Synthires

Riverside, CA • On-site

$70 - $90/hr

Other

Posted 11 days ago

Job description

Molecular Biologist


Position: Molecular Biologist


Type: Contract


Compensation: $70–$90/hour


Location: Remote


About the Opportunity :


This opportunity is for experienced Molecular Biologists with expertise in molecular biology, genetics, gene editing, DNA/RNA analysis, and laboratory research to contribute to advanced AI research and evaluation projects. You'll apply your scientific expertise to evaluate expert-level biological content, assess AI-generated outputs, and help improve the accuracy, reasoning, and performance of next-generation AI systems.

No prior AI experience is required. Your molecular biology expertise and research experience are the primary qualifications for success in this role. Professionals with hands-on experience in CRISPR, PCR, cloning, sequencing, genomics, and molecular diagnostics are especially encouraged to apply.


Responsibilities

  • Conduct and evaluate molecular biology research involving DNA, RNA, proteins, and gene expression.
  • Review and assess AI-generated scientific content for technical accuracy, completeness, and scientific reasoning.
  • Apply expertise in PCR, qPCR, cloning, sequencing, CRISPR gene editing, genotyping, and molecular assays.
  • Analyze DNA/RNA sequences, molecular pathways, genetic variation, and cellular mechanisms.
  • Design, interpret, and evaluate molecular biology experiments and laboratory workflows.
  • Translate complex molecular biology concepts into clear, structured documentation for AI training and evaluation.
  • Collaborate with interdisciplinary teams to ensure scientific accuracy, consistency, and data quality.
  • Apply structured evaluation frameworks and scientific judgment to improve AI model performance.

  • Required Qualifications

    • Bachelor's degree or higher in Molecular Biology, Genetics, Biotechnology, Cell Biology, Biochemistry, or a related Life Sciences discipline.
    • Strong hands-on experience with molecular biology techniques, PCR, DNA/RNA extraction, cloning, sequencing, and gene expression analysis.
    • Experience working in laboratory or wet lab research environments.
    • Excellent scientific reasoning, analytical thinking, and problem-solving skills.
    • Strong written and verbal communication skills with exceptional attention to scientific detail.
    • Ability to work independently in a fully remote environment.

  • Preferred Qualifications

    • Master's degree or PhD in Molecular Biology, Genetics, Biotechnology, Biochemistry, or a related field.
    • Experience with CRISPR, genomics, transcriptomics, bioinformatics, synthetic biology, or molecular diagnostics.
    • Familiarity with AI, machine learning, scientific data annotation, or AI model evaluation.
    • Experience developing scientific evaluation frameworks, quality assurance processes, or research review standards.
    • Experience collaborating with cross-functional or remote research teams.


    Compensation

    • Competitive compensation of $70–$90/hour.
    • Weekly payments.
    • Independent contractor engagement.


    Application Process

    1. Easy Apply on LinkedIn
    2. Check Email for Next Steps
    3. Participate in Resume Evaluation & Interview Stage

    Apply