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Ml Data Associate Jobs in Carson, CA (NOW HIRING)

Enterprise Data Architect

Pasadena, CA ยท On-site

$130 - $200/hr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... The role will lead data architecture strategy and standards supporting enterprise analytics, AI/ML ...

SR Systems Engineer- SATCOM

Seal Beach, CA ยท On-site

$108K - $148K/yr

Work with data, AI/ML, software, and systemsengineering teams to integrate required data sources ... Associates degree and 14+ years of experience in a Systems Engineering related field; OR bachelor ...

SR Systems Engineer- SATCOM

Seal Beach, CA

$108K - $148K/yr

Work with data, AI/ML, software, and systemsengineering teams to integrate required data sources ... Associates degree and 14+ years of experience in a Systems Engineering related field; OR bachelor ...

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Ml Data Associate information

See Carson, CA salary details

$60.1K

$71.2K

$134.9K

How much do ml data associate jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ml data associate in Carson, CA is $71,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $62,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.
What are popular job titles related to Ml Data Associate jobs in Carson, CA? For Ml Data Associate jobs in Carson, CA, the most frequently searched job titles are:
What cities near Carson, CA are hiring for Ml Data Associate jobs? Cities near Carson, CA with the most Ml Data Associate job openings:

Product & Operations Lead

Hirenow Staffing Inc

Los Angeles, CA โ€ข On-site

$150K - $250K/yr

Other

Re-posted 21 days ago


Job description

Product & Operations Lead

Product & Operations Lead

Hybrid | Los Angeles, CA Direct Hire / Permanent Placement

HireNow Staffing is actively recruiting a seasoned, highly skilled Product & Operations Lead on behalf of a valued client partner in the AI data software startup sector. HireNow Staffing is acting as a direct placement partner for this Product & Operations Lead opportunity.

We are seeking a technically fluent, commercially strong operator who can work at the intersection of product, applied research, customer success, and revenue growth. This individual will serve as a primary relationship owner for advanced AI customers, translate sophisticated technical requirements internally, and help scale customer partnerships tied to frontier model development.

Candidates with jumpy or unstable resumes will not be accepted or interviewed. We are prioritizing professionals with consistent tenure, progressive growth, and measurable impact.

Key Responsibilities

  • Own strategic customer relationships end-to-end, from onboarding through renewal, expansion, and long-term partnership growth
  • Serve as a trusted technical point of contact for advanced AI customers using data within model training and evaluation environments
  • Understand customer data pipelines, workflow dependencies, annotation processes, and training stack requirements
  • Translate customer feedback, use cases, and technical requests into structured internal briefs for Product, Engineering, and Operations teams
  • Identify upsell, renewal, and expansion opportunities tied to new dataset demand or broader platform usage
  • Support new business efforts including demos, technical scoping, proposals, and solution alignment
  • Coordinate cross-functionally to ensure timely delivery, customer satisfaction, and execution excellence
  • Surface market intelligence, customer pain points, and product opportunities to leadership
  • Improve repeatable customer operations processes in a fast-scaling startup environment

Required Qualifications (Highly Important)

  • 1โ€“3+ years of experience within an AI/ML data company, human data provider, AI infrastructure company, or related technical startup environment
  • Direct experience with human data used for AI model training and evaluation (required)
  • Strong understanding of ML data pipelines, model training workflows, data quality processes, and production AI environments
  • Ability to clearly translate customer needs into actionable technical requirements for internal teams
  • Proven relationship management experience with advanced technical customers or AI labs
  • Strong communication skills with ability to simplify complex technical topics for varied audiences
  • High ownership mindset, intellectual curiosity, and structured problem-solving ability
  • Stable employment history with clear progression; candidates with jumpy resumes will not be considered

Preferred Qualifications (Strongly Valued)

  • Direct experience working with top AI labs or frontier model organizations
  • Existing network within AI research labs, model builders, or advanced ML ecosystems
  • Startup or early-stage company experience with high ambiguity tolerance
  • Technical degree in Computer Science, Engineering, Data Science, Mathematics, or related discipline
  • Experience supporting renewals, upsells, or revenue expansion within technical accounts
  • Familiarity with RLHF, data labeling, synthetic data, model evaluation, red teaming, or related human data workflows
  • Product operations or technical account management background

HireNow Disqualifiers

  • Only general AI product management experience without direct human data / training data exposure
  • No ability to articulate ML data pipelines or model training workflows clearly
  • No customer-facing relationship ownership experience
  • Need for visa sponsorship (not available)
  • Frequent job changes without clear rationale or progression

HireNow Staffing is recruiting candidates who meet the following profile:

Direct human data experience supporting AI model training or evaluation Strong understanding of ML pipelines and training workflows Proven ability to translate technical customer needs to engineering teams Relationship network or experience within AI lab ecosystems preferred Strong communicator with technical and commercial credibility Ownership mindset with startup adaptability Able to work hybrid in Los Angeles, CA Stable resume with progressive experience

Standout Candidates Include:

Professionals from AI data companies supporting frontier model labs Candidates with direct relationships inside top AI labs Operators who have driven renewals and expansion revenue in technical accounts Technically trained professionals who excel in customer-facing roles

HireNow Package

  • Base Salary: $150,000 โ€“ $250,000
  • Additional Compensation: Equity + benefits package
  • Work Location: Hybrid โ€“ Los Angeles, CA
  • Employment Type: Full-Time / Direct Hire
  • Visa Sponsorship: Not available

HireNow Staffing Disclaimer

All candidate information is handled confidentially and evaluated against defined requirements. This job description outlines the general scope of responsibilities and qualifications. Duties may evolve based on client needs and business growth. Only candidates meeting the core qualifications will be considered for interview.


HireNow Staffing logo

About HireNow Staffing

Sourced by ZipRecruiter

HireNow Staffing originated from the recognition of a need within the job market for a more efficient and specialized approach to staffing. We have identified challenges that businesses faced in finding and hiring qualified candidates, especially in industries like healthcare, executive roles, and industrial sectors. The ethos of HireNow Staffing is straightforward. We're motivated by a singular vision: to efficiently address the staffing needs of businesses, ensuring they're equipped with the right employees for optimal operations. Situated in the thriving heart of Kent, WA, we have evolved into a beacon of recruitment excellence. Our process, designed for speed and reliability, ensures that each candidate is screened meticulously, matching their skill set with the perfect job role. Whether temporary employment, a transition from temp to hire, or direct placement, our goal remains consistent โ€“ to provide unparalleled recruitment solutions. Our commitment goes beyond mere numbers. We are deeply rooted in our community, aiming to fulfill the immediate staffing needs of businesses. Our assistance ensures that every company we collaborate with operates at its full potential. We are more than just a staffing agency; we're the trusted ally in your business's operational journey.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Kent, WA, US

Year founded

2022

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