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Answer Jobs in California (NOW HIRING)

Answer Consulting

Production Scheduler

Burbank, CA · On-site

$33.65 - $36.06/hr

Overview We are seeking a detail-oriented and proactive Production Scheduler to join our dynamic team in Burbank, CA. In this role, you will play a crucial part in ensuring our production processes ...

Answer Consulting

Senior Program Manager

Burbank, CA · On-site

$74.52/hr

We are currently seeking on a high-impact Senior Program Manager opportunity supporting complex new product development and production programs within a fast-paced aerospace manufacturing environment.

Answer Consulting

Production Scheduler

Burbank, CA · On-site

$70K - $75K/yr

Overview We are seeking a detail-oriented and proactive Production Scheduler to join our dynamic team in Burbank, CA. In this role, you will play a crucial part in ensuring our production processes ...

Answer Consulting

Financial Controller

Burbank, CA · On-site

The Financial Controller is a key member of the leadership team responsible for directing all financial and accounting activities for a manufacturing operation. Reporting to the General Manager and ...

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All JobsAnswer JobsAnswer Jobs in California

Answer information

See California salary details

$10

$17

$23

How much do answer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for answer in California is $17.07, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What is an answer?

'Answer' jobs typically refer to positions where employees are responsible for responding to customer inquiries, providing information, or offering support, often through phone, email, or online chat. These roles are common in customer service, help desks, and technical support centers. Employees in these positions need strong communication skills, problem-solving abilities, and a good understanding of the company’s products or services. The goal is to assist customers efficiently and ensure a positive experience. Training is usually provided to help new hires become familiar with common questions and company protocols.

What are the key skills and qualifications needed to thrive as an answer?

I'm sorry, but 'Answer' is not a recognized real-world professional occupation, so I cannot provide a response for this job title.

How does an answering service representative typically collaborate with team members and other departments?

As an Answering Service Representative, you’ll frequently collaborate with other representatives, supervisors, and sometimes clients to ensure clear communication and consistent service quality. Team members often share updates about call protocols, urgent messages, or changes in client instructions through digital platforms or regular briefings. Close coordination with supervisors and technical support is common when troubleshooting issues or escalating urgent matters, making teamwork and adaptability key aspects of the job.

What are the most commonly searched types of Answer jobs in California?

The most popular types of Answer jobs in California are:

What are popular job titles related to Answer jobs in California?

For Answer jobs in California, the most frequently searched job titles are:

What job categories do people searching Answer jobs in California look for?

The top searched job categories for Answer jobs in California are:

Answer jobs near you
Infographic showing various Answer job openings in California as of August 2026, with employment types broken down into 44% Full Time, 52% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,505 per year, or $17.1 per hour.

Member of Technical Staff (Answer Quality & Evals)

San Francisco, CA • On-site

Perplexity
Software Development • 11 - 50 employees
Learn more about Perplexityexternal

$200K - $350K/yr

Full-time

Posted 29 days ago

Job description

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users.
As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements.
Responsibilities
  • Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions
  • Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures
  • Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data
  • Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements
  • Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality

Qualifications
  • 4+ years of software, data, or machine learning engineering experience shipping and operating production systems
  • Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems
  • Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines
  • Demonstrated ownership of ambiguous technical projects from initial design through production operation
  • Ability to work effectively with data scientists, engineers, and product partners
Preferred Qualifications
  • Experience building evaluation, experimentation, observability, or machine learning infrastructure
  • Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation
  • Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse

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