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Data Annotation Program Manager Jobs in Oxnard, CA

Hope The Mission

Program Coordinator

Thousand Oaks, CA · On-site

$28 - $29/hr

Reporting to the Program Manager or Assistant Program Manager, the Program Coordinator provides the administrative, operational, and data coordination support that enables assigned HTM interim ...

Amgen, Inc.

Senior Global Program Manager

Thousand Oaks, CA · On-site

$121K - $122K/yr

You will also collaborate with other IT teams, such as Data Center Operations, Information Security ... Manage and maintain our complex network infrastructure, including routing, switching, WANs ...

Amgen

Data Management, Manager

Thousand Oaks, CA · On-site

... the Manager Data Management, Commercial Patient Data reports into the Director, Patient Data ... A discretionary annual bonus program, or for field sales representatives, a sales-based incentive ...

Amgen, Inc.

Data Management, Manager

Thousand Oaks, CA · On-site

... the Manager Data Management, Commercial Patient Data reports into the Director, Patient Data ... A discretionary annual bonus program, or for field sales representatives, a sales-based incentive ...

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All JobsData Annotation Program JobsData Annotation Program Manager JobsData Annotation Program Manager Jobs in Oxnard, CA

Data Annotation Program Manager information

See Oxnard, CA salary details

$32.8K

$102.9K

$182.1K

How much do data annotation program manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data annotation program manager in Oxnard, CA is $102,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $132,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data annotation program manager, and why are they important?

To thrive as a Data Annotation Program Manager, you need expertise in project management, data quality assessment, and a solid understanding of machine learning or data annotation processes, typically supported by a relevant degree. Familiarity with annotation platforms, workflow management tools, and data labeling software is essential, along with knowledge of quality assurance frameworks. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills that help manage diverse teams and ensure stakeholder alignment. These skills are important to maintain high data quality, meet project deadlines, and drive successful AI model training initiatives.

How does a data annotation program manager coordinate with cross-functional teams to ensure project success?

A Data Annotation Program Manager regularly collaborates with engineering, data science, and quality assurance teams to align annotation guidelines, project timelines, and quality standards. They often facilitate meetings to clarify requirements, resolve ambiguities in data labeling, and provide feedback on annotation accuracy. This role serves as a bridge between technical teams and annotation staff, ensuring open communication and timely resolution of challenges, which is critical for delivering high-quality datasets essential for machine learning and AI projects.

What is a data annotation program manager?

Data Annotation Program Managers are professionals who oversee and coordinate data labeling projects, ensuring that data used for machine learning and artificial intelligence is accurately tagged and prepared. They manage teams of annotators, set project guidelines, monitor quality, and ensure deadlines are met. Their role is crucial for building high-quality datasets that enable reliable AI model training. Program Managers often collaborate with data scientists, engineers, and stakeholders to define requirements and improve annotation processes.

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

The top searched job categories for Data Annotation Program Manager jobs in Oxnard, CA are:

What cities near Oxnard, CA are hiring for Data Annotation Program Manager jobs?

Cities near Oxnard, CA with the most Data Annotation Program Manager job openings:

Data Annotation Program Manager jobs near you
Infographic showing various Data Annotation Program Manager job openings in Oxnard, CA as of June 2026, with employment types broken down into 76% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $102,874 per year, or $49.5 per hour.

Senior Data Scientist / Machine Learning Engineer, NLP - 1635

aKube Inc

Calabasas, CA • On-site

$85/hr

Other

Re-posted 16 hours ago

Job description


City: Las Vegas, NV / Calabasas, CA
Onsite/ Hybrid/ Remote: Hybrid Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)
Duration: 6 months
Rate Range: Upto $85/hr on W2
Work Authorization: All valid EADs except H1B, OPT, CPT
Must Have:
  • 4-6+ years of data science or machine learning experience
  • NLP classification for customer messages or call transcripts
  • Intent, topic, sentiment, and multi-label classification
  • Confidence scoring and model evaluation
  • Text cleaning, deduplication, speaker handling, and PII-safe processing
  • Trend and anomaly detection
  • Python, PySpark, SQL, and pandas
  • Labeled dataset design and annotation workflows
  • Precision, recall, confusion matrix, and drift monitoring

Responsibilities:
  • Build and deploy NLP classification models for customer communications.
  • Develop intent, topic, sentiment, and multi-label taxonomies.
  • Clean and prepare transcript and message data for modeling.
  • Handle short-text cases, duplicate records, system messages, and speaker identification.
  • Build trend and anomaly detection methods using baselines, seasonality, and channel mix.
  • Design maintainable Python and PySpark data pipelines.
  • Define sampling strategies and annotation guidelines for labeled datasets.
  • Support reviewer adjudication and dataset quality validation.
  • Track model precision, recall, confusion patterns, confidence scores, and drift.
  • Implement secure processing for customer communications containing sensitive data.

Qualifications:
  • 4-6+ years of relevant machine learning, NLP, or data science experience.
  • Proven experience deploying NLP models into production.
  • Strong experience with classification systems and text analytics.
  • Advanced Python development and testing skills.
  • Hands-on experience with PySpark, SQL, pandas, and scalable data pipelines.
  • Experience creating and validating labeled datasets.
  • Strong understanding of model evaluation, monitoring, and false-alert reduction.
  • Experience working with governed or PII-bearing data.

Nice to Have:
  • Databricks
  • Unity Catalog
  • Databricks Workflows
  • MLflow
  • Model and data versioning
  • Retrieval and embedding models
  • LLM-assisted classification with evaluation and guardrails
  • Contact-center or customer-support analytics
  • Property-management or real-estate data experience

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