ZipRecruiter

Log In

1

Senior Field Interviewer Jobs (NOW HIRING)

Adobe

Senior Manager, GTM Data Science

San Francisco, CA · On-site

$142K - $186K/yr

Bachelor's degree in a quantitative field required; advanced degree or equivalent experience ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

Adobe

Senior Manager, GTM Data Science

San Jose, CA · On-site

$141K - $185K/yr

Bachelor's degree in a quantitative field required; advanced degree or equivalent experience ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

Osv_a10networks

Senior SEC Reporting Manager

San Jose, CA · Hybrid

$185K - $200K/yr

Bachelor's degree in Accounting, Finance, or related field * 15+ years of progressive accounting ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

Adobe

Senior Finance Manager

San Jose, CA · On-site

$127K - $174K/yr

... a related field. * 10+ years of FP&A or related financial analysis experience. * Advanced ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

next page

Showing results 1-20

All JobsField Interviewer JobsSenior Field Interviewer Jobs

Senior Field Interviewer information

See salary details

$12

$19

$22

How much do senior field interviewer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for senior field interviewer in the United States is $19.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $21.15 per hour, depending on experience, location, and employer.

How much do interviewers get paid?

Senior Field Interviewers typically earn between $15 and $25 per hour, depending on the organization and location. Compensation may also include mileage reimbursement and flexible schedules, with some positions offering part-time or seasonal work.

What is the difference between Senior Field Interviewer vs Field Interviewer?

AspectSenior Field InterviewerField Interviewer
Required CredentialsHigh school diploma or equivalent; experience preferredHigh school diploma or equivalent
Work EnvironmentMore autonomous, may oversee other interviewersPrimarily field-based, conducting interviews
Employer & Industry UsageUsed in research, government, and survey organizationsCommon in market research, social science, and government surveys
Job ResponsibilitiesSupervises interviewers, ensures data qualityConducts interviews, collects data

The main difference is that Senior Field Interviewers often have supervisory duties and more experience, while Field Interviewers focus on conducting interviews. Senior roles may require additional experience but generally share similar credentials and work environments.

More about Senior Field Interviewer jobs
What cities are hiring for Senior Field Interviewer jobs? Cities with the most Senior Field Interviewer job openings:
What are the most commonly searched types of Field Interviewer jobs? The most popular types of Field Interviewer jobs are:
What states have the most Senior Field Interviewer jobs? States with the most job openings for Senior Field Interviewer jobs include:
What job categories do people searching Senior Field Interviewer jobs look for? The top searched job categories for Senior Field Interviewer jobs are:
Senior Field Interviewer jobs near you
Infographic showing various Senior Field Interviewer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Temporary. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $41,062 per year, or $19.7 per hour.

Sr. AI Machine Learning Engineer

Osv_a10networks

San Jose, CA

$110K - $145K/yr

Full-time

Posted 12 days ago

Job description

Sr. AI Machine Learning EngineerPosition Overview

We are looking for a talented and experienced Deep Learning Engineer specializing in Large Language Models (LLMs) to join our dynamic team. In this role, you will play a pivotal part in enhancing the reliability, safety, and performance of AI models and systems. You will work closely with AI researchers and product teams to drive cutting-edge advancements in AI safety and responsible AI solutions.

Responsibilities

  • Assist in designing and implementing end-to-end safety-focused frameworks for LLMs

  • Develop and apply risk mitigation techniques, including safe inference strategies to ensure reliable AI behavior

  • Identify vulnerabilities in AI systems and contribute to adversarial testing, bias detection, and mitigation strategies

  • Collaborate with cross-functional teams to integrate safety mechanisms into AI workflows and pipelines

  • Design and optimize LLM architectures to improve performance, scalability, and efficiency

  • Fine-tune pre-trained LLMs on domain-specific datasets to improve task performance

  • Stay up to date with the latest research papers, techniques, and advancements in deep learning and related fields

  • Strong software engineering and programming skills, and ability to quickly develop working prototypes from research ideas

Requirements

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field

  • Proven experience in developing and deploying Large Language Models (LLMs), with a focus on architectures such as GPT, BERT, and their variants

  • Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch

  • Knowledge of distributed training techniques and experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud)

  • Excellent problem-solving skills and ability to work independently and in a team environment

  • Strong communication and collaboration skills

AI Use Guidelines for Interviews:Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

Targeted compensation guideline: $110,000 - $145,000. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training.

Apply