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Senior Field Interviewer Jobs (NOW HIRING)

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 ...

Sr Data Solution Engineer

Lehi, UT · On-site

$51.75 - $67/hr

... field. * Strong proficiency in SQL and Python, with experience building reliable data pipelines ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

Sr Data Solution Engineer

Lehi, UT · On-site

$51.75 - $67/hr

... field. * Strong proficiency in SQL and Python, with experience building reliable data pipelines ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

Bachelor's degree in Accounting, Finance, or a related field * 4+ years of progressive accounting ... for the interviewer to explore. They do not make hiring decisions or screen candidates ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

Bachelor's degree in Finance, Accounting, Economics, or a related field; MBA or CPA a plus. * 6-9+ ... for the interviewer to explore. They do not make hiring decisions or screen candidates ...

Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics ... interviewer or approved in advance as part of a reasonable accommodation. If these tools are used ...

... field with 10+ years of experience on digital IC design. - Experience on RTL design using System ... Use of AI tools without prior instruction from the interviewer will result in disqualification from ...

Showing results 21-40

Senior Field Interviewer information

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$12

$19

$22

How much do senior field interviewer jobs pay per hour?

As of Aug 6, 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.

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:
Infographic showing various Senior Field Interviewer job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $41,062 per year, or $19.7 per hour.

Senior Staff Engineer - AI ADC

A10 Networks, Inc.

San Jose, CA • On-site

$180K - $195K/yr

Full-time

Re-posted 22 days ago


Job description

Senior Staff Engineer - AI ADC
A10 Networks is accelerating its AI-driven innovation across the ADC and GSLB product lines. We are seeking a highly experienced Sr. Staff Engineer to be part of the development of next-generation AI-aware traffic management and AI Gateway capabilities.
This role combines deep domain expertise in Application Delivery Controllers (ADC), Server Load Balancing (SLB), DNS/GSLB, with practical experience in AI/LLM systems, to build intelligent routing, inference-aware load balancing, and Layer-8 contextual decision engines for AI workloads.
The ideal candidate is a senior staff engineer who can drive architecture, design, prototyping, and execution-working closely with product management, platform teams, and AI strategy groups.
Key Responsibilities
  • Lead architecture and development of AI Gateway components for intelligent routing of LLM/AI application traffic.
  • Design and implement LLM-aware load balancing, incorporating semantic, token, latency, and model-level insights into traffic decisions.
  • Develop enhancements for ADC and GSLB platforms to support AI workloads, including:
    • Token-aware rate limiting
    • Inference latency-based routing
    • AI model endpoint discovery and health checks
    • Integration with vector databases, model registries, and ML observability systems
  • Contribute to advanced features including Layer-8 context-aware routing, adaptive traffic shaping, and AI-driven anomaly detection.
  • Drive system-wide architecture: data plane, control plane, configuration, and distributed state management.
  • Mentor engineering teams on AI workload behaviors, traffic characteristics, and tuning strategies.
  • Collaborate with AI research and platform teams to align architectural decisions with product roadmap.
  • Create guidance on performance optimization, benchmarking, and scaling for global multi-node deployments.
  • Ensure high standards for reliability, security, observability, and cloud-native deployment models.

Required Qualifications
  • Advanced degree in Computer Science, Networking, or related field (MS/PhD preferred).
  • Deep knowledge of L4-L7 protocols (TCP/TLS/HTTP/2/3, QUIC), load balancing algorithms and GSLB strategies (DNS-based, HTTP redirect, anycast).
  • Strong programming skills in C/C++ (data plane), Go/Python (control/ML), and performance profiling (perf, eBPF, flamegraphs, VTune/nvprof).
  • Applied ML: anomaly detection, time-series forecasting, classification; experience with PyTorch/TensorFlow.
  • Hands-on experience with AI/ML systems, including:
    • Model inference pipelines, LLM API integrations
    • Token-level behavior and performance characteristics
    • Understanding of AI workload routing challenges (latency, caching, batching, multi-model orchestration)
  • Strong architectural and design skills; able to lead complex technical initiatives end-to-end.
  • Demonstrated ability to influence cross-functional teams and drive consensus.

Key Attributes
  • Passion for emerging AI technologies and applying them within network infrastructure.
  • Deep systems thinking and ability to design for performance, scale, and robustness.
  • Strong ownership mindset with ability to deliver impactful architectural outcomes.
  • Excellent 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.
A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A10 also complies with all applicable state and local laws governing nondiscrimination in employment.
#LI-AN1 - Hybrid
Targeted compensation guideline: $180,000 - $195,000. 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.