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Collection Jobs in California (NOW HIRING)

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

About the Role You'll own data collection at Hark - the programs, the vendors, and the pipelines that turn raw signal into training data our models can actually learn from. That means running end-to ...

About the Role You'll own data collection at Hark - the programs, the vendors, and the pipelines that turn raw signal into training data our models can actually learn from. That means running end-to ...

Credit & Collection Specialist

Cypress, CA · On-site

$23 - $30.75/hr

Job Summary The Credit & Collection Specialist is responsible for managing the full accounts receivable and commercial collections process, including credit evaluations, risk assessment, customer ...

Data Collection Operator 1 Location: Sunnyvale, C Duration: 12 months Primary Function: Client is looking for a highly motivated and adaptive individual to support the Multiport AI Research data ...

We are hiring Vehicle Operators to support a growing autonomous driving program focused on real-world data collection and testing. In this role, you will operate test vehicles on assigned routes ...

We are hiring Vehicle Operators to support a growing autonomous driving program focused on real-world data collection and testing. In this role, you will operate test vehicles on assigned routes ...

We are hiring Vehicle Operators to support a growing autonomous driving program focused on real-world data collection and testing. In this role, you will operate test vehicles on assigned routes ...

Description Perform daily data collection on various hardware and software platforms • Manage readiness of collection platforms • This includes: • Device setup and deployment • Sensor ...

New

Description Perform daily data collection on various hardware and software platforms • Manage readiness of collection platforms • This includes: • Device setup and deployment • Sensor ...

New

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Collection information

See California salary details

$9

$19

$29

How much do collection jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for collection in California is $19.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.79 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in collection roles, and how can they be effectively managed?

Collection professionals often encounter challenges such as handling difficult or unresponsive customers, meeting collection targets, and staying compliant with regulations. Success in this role requires strong communication skills, empathy, and the ability to negotiate solutions that work for both the customer and the organization. Building rapport and maintaining professionalism can help de-escalate tense situations, while staying organized and familiar with relevant laws ensures compliance and efficiency. Regular training and support from team members also contribute to overcoming these challenges.

What is a career in collections?

A career in collections involves managing overdue accounts by contacting debtors to recover unpaid funds, often working in financial institutions or collection agencies. It requires strong communication skills, attention to detail, and knowledge of relevant laws and regulations. Professionals may use specialized software to track accounts and ensure compliance.

What is the difference between Collection vs Customer Service Representative?

AspectCollectionCustomer Service Representative
Required CredentialsHigh school diploma; sometimes certifications in debt collectionHigh school diploma; customer service training often preferred
Work EnvironmentCall centers, debt collection agencies, financial institutionsRetail stores, call centers, corporate offices
Industry UsageFinance, banking, healthcareRetail, telecommunications, hospitality
Common Search/ComparisonYesYes

Collection specialists focus on recovering unpaid debts, often working in finance or healthcare sectors, with specific skills in negotiation and debt laws. Customer Service Representatives handle inquiries, provide support, and assist customers across various industries. While both roles involve communication skills, collections emphasize debt recovery, whereas customer service centers on customer satisfaction and support.

What are the key skills and qualifications needed to thrive as a collection specialist, and why are they important?

To thrive as a Collection Specialist, you need a solid understanding of accounts receivable, debt collection processes, and strong numerical proficiency, often supported by a high school diploma or associate degree in finance or business. Familiarity with collection management software, CRM systems, and payment processing tools is commonly required. Excellent negotiation, problem-solving, and interpersonal skills help build rapport with clients and resolve disputes effectively. These skills are crucial for maximizing recoveries, maintaining positive customer relationships, and supporting the financial health of the organization.
What are the most commonly searched types of Collection jobs in California? The most popular types of Collection jobs in California are:
What job categories do people searching Collection jobs in California look for? The top searched job categories for Collection jobs in California are:
What cities in California are hiring for Collection jobs? Cities in California with the most Collection job openings:
Infographic showing various Collection job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 26% Part Time, 3% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $41,127 per year, or $19.8 per hour.

Data Collection

Hark

San Jose, CA • On-site

$150K - $250K/yr

Full-time

Re-posted 22 days ago


Job description

About Hark
Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.
To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.
About the Role
You'll own data collection at Hark - the programs, the vendors, and the pipelines that turn raw signal into training data our models can actually learn from.
That means running end-to-end campaigns across human feedback, synthetic data, and product-embedded signals. The quality of what we collect shapes the quality of what we ship, and this role owns that loop.
This is a high-ownership role on a small team. You'll work directly with researchers, engineers, and external partners, and the data you deliver will directly influence how our models behave in the real world.
Responsibilities
  • Design and run data collection programs end-to-end - scoping requirements, writing instructions, defining success criteria, and driving execution with vendors and annotators.
  • Manage external vendor relationships. Be the primary interface between Hark and data partners, keeping quality high and timelines on track.
  • Assess collected data using internal tooling, identify quality issues, and feed clear, actionable feedback back to vendors and annotators.
  • Collaborate closely with model researchers and engineers to understand what data is needed, translate that into operational plans, and deliver.
  • Track program metrics, surface insights, and drive continuous improvements to quality, throughput, and process.
  • Identify gaps in tooling and workflows and propose concrete improvements.

Requirements
  • Operational excellence. You can manage multiple programs simultaneously, keep track of details under pressure, and bring structure to fast-moving situations.
  • Experience working with external vendors or contractors. You know how to set expectations, manage relationships, and hold partners accountable to quality.
  • A knack for data. You've gone beyond surface-level metrics - you dig in, find patterns, and use what you find to make things better.
  • Strong communication. You can translate between research requirements and operational reality, and you keep everyone aligned without letting things slip.
  • Comfort with ambiguity and fast iteration. You take a rough problem, build a process around it, get feedback, and tighten it quickly.
  • Genuine curiosity about AI. You don't need to be an ML researcher, but you care about how models learn and why data quality matters.
  • 2+ years of relevant experience in data operations, program management, or a related field.

Bonus Qualifications
  • Experience managing human feedback or preference data programs.
  • Familiarity with data annotation platforms or labeling pipelines.
  • Experience with synthetic data generation or evaluation dataset design.
  • Background working at a fast-moving AI or research-driven company.

Compensation
The US base salary range for this full-time position is between $150,000 - $250,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.