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Data Operations Associate Jobs in Fremont, CA (NOW HIRING)

HumanSignal

Operations Associate

San Francisco, CA · On-site

$70K - $90K/yr

About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data ... This role sits at the operational core of that delivery engine -- responsible for ensuring our ...

HumanSignal

Operations Associate

San Francisco, CA · On-site

$70K - $90K/yr

About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data ... This role sits at the operational core of that delivery engine - responsible for ensuring our ...

HumanSignal

Operations Associate

San Francisco, CA

$70K - $90K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data ... This role sits at the operational core of that delivery engine - responsible for ensuring our ...

Commure

Technical Operations Associate

Mountain View, CA · On-site

$65K - $85K/yr

... Technical Operations Associate to help build them faster. This is a hands-on, high-ownership ... You'll design and maintain tools that connect to live data via APIs, SQL, and webhooks, so teams ...

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All JobsData Operations Associate JobsData Operations Associate Jobs in Fremont, CA

Data Operations Associate information

See Fremont, CA salary details

$12

$28

$58

How much do data operations associate jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data operations associate in Fremont, CA is $28.73, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $33.17 per hour, depending on experience, location, and employer.

What does a data operations associate do?

A Data Operations Associate is responsible for managing and maintaining the flow of data within an organization. They ensure data is collected, processed, and stored accurately, supporting data integrity and availability for business needs. Their duties often include monitoring data pipelines, troubleshooting data issues, and collaborating with teams to improve data processes. This role is critical in ensuring that reliable data is accessible for analytics, reporting, and decision-making.

What are some typical challenges faced by data operations associates when managing large datasets across multiple platforms?

Data Operations Associates often encounter challenges such as ensuring data consistency and accuracy when integrating information from different sources. Managing data pipelines and troubleshooting data flow issues can be complex, especially as organizations scale and adopt new technologies. Collaborating with data engineers, analysts, and IT teams is essential for resolving discrepancies and maintaining the reliability of data systems. Regularly updating documentation and staying current with best practices in data governance helps address these challenges effectively.

What are the key skills and qualifications needed to thrive as a data operations associate?

To thrive as a Data Operations Associate, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in information systems, computer science, or a related field. Familiarity with data processing tools, database management systems (such as SQL), and platforms like Excel or BI tools is typically required. Excellent problem-solving abilities, communication skills, and organizational aptitude help you coordinate with teams and ensure data accuracy. These competencies are essential for maintaining data integrity, enabling efficient workflows, and supporting informed business decisions.

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

AspectData Operations AssociateData Analyst
Primary FocusData management, processing, and ensuring data qualityAnalyzing data to generate insights and reports
Skills & CertificationsData management tools, basic SQL, attention to data accuracyData analysis, visualization, SQL, statistical skills
Work EnvironmentData teams, operations departments, often in tech or financeBusiness units, analytics teams, consulting firms

While both roles involve working with data, the Data Operations Associate primarily handles data management and quality assurance, whereas the Data Analyst focuses on analyzing data to inform business decisions. The roles often collaborate but serve different functions within organizations.

What are the most commonly searched types of Data Operations jobs in Fremont, CA? The most popular types of Data Operations jobs in Fremont, CA are:
What are popular job titles related to Data Operations Associate jobs in Fremont, CA? For Data Operations Associate jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Data Operations Associate jobs in Fremont, CA look for? The top searched job categories for Data Operations Associate jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Data Operations Associate jobs? Cities near Fremont, CA with the most Data Operations Associate job openings:
Data Operations Associate jobs near you
Infographic showing various Data Operations Associate job openings in Fremont, CA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $59,756 per year, or $28.7 per hour.

Operations Associate

HumanSignal

San Francisco, CA • On-site

$70K - $90K/yr

Full-time

Re-posted 13 days ago

Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.


We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

Level: Individual Contributor
Compensation: $70,000 – $90,000
Location: San Francisco, CA

About the Role

HumanSignal specializes in operationally complex, multimodal data collection and annotation — delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine — responsible for ensuring our clients get the highest-quality data on time, every time.

This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery — and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard — this is the role for you

What You'll Do

The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high — and that's the point.

What You'll Do
  • Build and drive critical operational processes to meet day-to-day customer delivery commitments
  • Manage daily operations across multiple Fellow or contributor programs, including onboarding, workflow coordination, and ongoing program health
  • Maintain operational trackers and documentation to ensure consistent execution and follow-through across the team
  • Monitor contributor engagement and flag retention or performance risks before they become delivery issues
  • Create an effective feedback loop between frontline operations, product, strategy, and customers
  • Identify recurring bottlenecks and recommend process improvements; run pilots and experiments to test solutions
  • Collaborate with SPLs, TPMs, Customer Operations, and Product teams to improve processes for new and existing customers
Required Qualifications
  • 2+ years of experience in an operational role or top-tier consulting firm
  • Undergraduate degree in an analytics-heavy field (Engineering, Economics, or related)
  • Action-oriented; balances creative problem-solving with scrappy execution
  • Strong analytical and process-improvement capability
  • Proficiency in SQL or demonstrated analytical tooling skills
Preferred Qualifications
  • Experience in marketplace, logistics, or workforce platform operations
  • Familiarity with tools like Zendesk, Notion, or Airtable
  • Exposure to AI/ML workflows, data annotation, or contributor management
  • Entrepreneurial mindset; comfortable in fast-moving, ambiguous environments