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Pearson Field Research Jobs (NOW HIRING)

Pearson

Senior Software Engineer

Durham, NC · On-site

$118K - $156K/yr

Pearson, the world's leading learning company, is hiring a Senior Software Engineer to play a key ... You navigate ambiguity in a fast-changing field and distil complex agentic systems into clear ...

Pearson

Specialist, Internal Audit, Controls, Compliance, & Risk Pearson is seeking a highly organized and ... a related field * 2+ years of experience supporting access management, audit, compliance ...

New

JPI

Field Engineer

Austin, TX · On-site

Austin - Pearson Ranchtime type: Full timeposted on: Posted 3 Days Agojob requisition id: JR101365 ... Its team of experts utilizes data - including unparalleled market research, proven business ...

Oracle

Pearson_ASM_01

San Francisco, CA · On-site

... fields We are searching for an Event Manager with a magnetic personality. You can handle large ... Research and recommend new sources for the recruitment of active and passive candidates. * Build ...

Oracle

Pearson_ASM_01

San Francisco, CA · On-site

... fields We are searching for an Event Manager with a magnetic personality. You can handle large ... Research and recommend new sources for the recruitment of active and passive candidates. * Build ...

Mars

Pearson_ASM_01

Redwood City, CA · On-site

... fields We are searching for an Event Manager with a magnetic personality. You can handle large ... Research and recommend new sources for the recruitment of active and passive candidates. * Build ...

The Vision Companies

Pearson_ASM_01

San Francisco, CA · On-site

... fields We are searching for an Event Manager with a magnetic personality. You can handle large ... Research and recommend new sources for the recruitment of active and passive candidates. * Build ...

Oracle

Pearson_ASM_01

Redwood City, CA · On-site

... fields We are searching for an Event Manager with a magnetic personality. You can handle large ... Research and recommend new sources for the recruitment of active and passive candidates. * Build ...

Oracle

Pearson_ASM_FINAL_DEMO

Redwood City, CA · On-site

... fields We are searching for an Event Manager with a magnetic personality. You can handle large ... Research and recommend new sources for the recruitment of active and passive candidates. * Build ...

Mars

Pearson_ASM_AKTEST_UAT3

Redwood City, CA · On-site

... fields We are searching for an Event Manager with a magnetic personality. You can handle large ... Research and recommend new sources for the recruitment of active and passive candidates. * Build ...

Oracle

Pearson_ASM_AKTEST_UAT1

Redwood City, CA · On-site

... fields We are searching for an Event Manager with a magnetic personality. You can handle large ... Research and recommend new sources for the recruitment of active and passive candidates. * Build ...

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How much do pearson field research jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for pearson field research in the United States is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $28.61 per hour, depending on experience, location, and employer.

What is a Pearson field researcher?

A Pearson Field Researcher is a professional responsible for collecting data and feedback from schools, educators, and students to support the development and improvement of Pearson's educational products and assessments. Their role typically involves visiting schools, administering tests or surveys, and ensuring that data is collected accurately and ethically. Field Researchers play a crucial part in validating educational materials and assessments before they are released widely. They often collaborate with teachers and school administrators to coordinate research activities and provide important insights that contribute to educational quality.

What are the key skills and qualifications needed to thrive as a Pearson field researcher?

To excel as a Pearson Field Researcher, you need strong analytical skills, attention to detail, and a background in education or research methodologies, often supported by a relevant degree. Familiarity with data collection tools, survey software, and statistical analysis programs like SPSS or Excel is typically required. Excellent communication, adaptability, and problem-solving skills help you effectively engage participants and navigate diverse field environments. These abilities are crucial for ensuring high-quality, reliable research data that informs Pearson's educational products and services.

What are some typical challenges faced by Pearson field researchers, and how can they be managed effectively?

Pearson Field Researchers often encounter challenges such as adapting to diverse testing environments, coordinating with schools or test sites, and ensuring data collection meets strict quality standards. To manage these, it's important to develop strong organizational skills, maintain open communication with site coordinators, and be proactive in troubleshooting unexpected issues. Additionally, collaborating closely with fellow researchers and leveraging Pearson’s training resources can help ensure consistency and accuracy in fieldwork.

What is the difference between Pearson Field Research vs Pearson Data Collection Specialist?

AspectPearson Field ResearchPearson Data Collection Specialist
CredentialsBachelor's degree in social sciences or related field; research certificationsHigh school diploma or equivalent; training in data collection methods
Work EnvironmentField sites, research labs, educational institutionsData collection sites, schools, community centers
Industry UsageAcademic research, market research, educational studiesSurvey administration, data gathering, educational assessments

While both roles involve data gathering, Pearson Field Research typically focuses on designing and conducting comprehensive research studies, often requiring advanced credentials. In contrast, Pearson Data Collection Specialists primarily handle the execution of data collection tasks, such as administering surveys or assessments. Understanding these differences helps clarify career paths and job expectations within the Pearson research and data collection fields.

Does Pearson Field Research offer remote positions?

Pearson Field Research typically offers in-person research roles that require fieldwork and direct interaction with participants. Remote positions are uncommon, as the job often involves on-site data collection and observation. Candidates should review specific job postings for details on remote work options.

What does a Pearson Field Research do?

A Pearson Field Researcher conducts field studies to collect data on human behavior, preferences, or environmental factors, often using surveys, interviews, or observational methods. They analyze the data to support research projects and may work in various settings, requiring skills in data collection, analysis, and reporting.

What are popular job titles related to Pearson Field Research jobs?

For Pearson Field Research jobs, the most frequently searched job titles are:

Infographic showing various Pearson Field Research job openings in the United States as of September 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $51,407 per year, or $24.7 per hour.

Senior Software Engineer

Durham, NC • On-site

Pearson
See more jobs at Pearsonexternal

$118K - $156K/yr

Full-time

Re-posted 14 days ago

Job description

Drive the future of Agentic AI at Pearson as part of the AgentOps Engineering team. Inspire innovation. Empower learning.
Pearson, the world's leading learning company, is hiring a Senior Software Engineer to play a key role on our AgentOps Engineering team.
Why This Role Matters
Are you passionate about building AI agents that reason, plan, route work, and run reliably in production-not just prototypes? Do you want to shape how an enterprise builds, operates, and governs digital workers at scale? Join our AgentOps Engineering team and help build the core platform capabilities that power agent crews running across the business.
This is a hands-on senior engineering role focused on building . You'll ship the write-path features that let agents take real actions, design the orchestration and routing patterns that direct work to the right agent, and engineer enhancements to the platform itself-working inside it, not just on top of it. Through this, you'll help teams across Pearson put dependable AI agents to work, and help people realize the lives they imagine through learning.
As a key member of the AgentOps Engineering team and Pearson, you will be expected to embody, and role model our leadership dimensions:
  • Live Our Purpose: You connect your engineering work to Pearson's mission and make decisions that reflect a clear understanding of our strategy.
  • Simplify the Complexity: You navigate ambiguity in a fast-changing field and distil complex agentic systems into clear, reliable solutions.
  • Carry Our Culture: You collaborate generously, mentor through design and code reviews, and contribute to an inclusive, high-performing team.
  • Deliver Results: You set a high-quality bar, get the details right, and own outcomes that matter to learners and stakeholders.

What You'll Do
  • Build write-path features
  • Ship the features that let agents take real, governed actions-wrapping enterprise APIs, validators, and data sources so agents can write, not just read.
  • Design safe write semantics: idempotency, confirmation and human-in-the-loop gates, structured outputs, and audit-ready action logging.
  • Design multi-agent orchestration
  • Build multi-agent and digital-worker orchestration patterns that let specialized agents delegate, collaborate, and complete multi-step goals.
  • Build stateful, cyclic workflows using modern agent orchestration frameworks-enabling reflection, recovery, and adaptive execution beyond linear chains.
  • Engineer agent routing
  • Build the routing layer that directs requests to the right agent or crew-intent classification, capability-based dispatch, fallback, and escalation paths.
  • Create reusable components for retries, degraded modes, and human handoff; tune agent roles, goals, and prompts using fixtures and golden sets.
  • Enhance the platform
  • Work hands-on with the agentic platform-creating, versioning, invoking, and debugging crews, tasks, and graphs through platform APIs-and contribute enhancements back where new patterns are needed.
  • Design long-running, resumable workflows (checkpointing, persistence, context restoration) and resilience patterns for non-deterministic AI.
  • Ship with AI, at quality
  • Work primarily through AI-pair-programming as your default mode-researching, scaffolding, implementing, reviewing, and shipping at high velocity while holding quality through TDD and rigorous verification.
  • Raise the bar
  • Drive reusable engineering standards, shared libraries, and reference patterns; mentor engineers through design and code reviews; and share the prompts, skills, and workflows that multiply everyone's output.

Who You Are
  • A hands-on senior engineer who builds production-grade agentic systems, not demos.
  • An independent owner who takes complex workstreams from ambiguity to reliable, shipped software.
  • A collaborator who influences through standards and mentoring, without needing authority.
  • Someone with strong taste and trade-off judgment across quality, latency, cost, resilience, and maintainability.

What You'll Bring
  • You build LLM-powered systems, agents, or digital workers that run in production.
  • Strong Python and backend/platform engineering-async services, typed code, and clean architecture.
  • You work fluently with agent orchestration frameworks and can design, build, and orchestrate reliable agent tools-contracts, error handling, tool chaining.
  • You've built routing, dispatch, or workflow-control logic that directs work across components or services.
  • You use AI-pair-programming as a primary delivery mode without sacrificing quality.
  • Strong prompt engineering for structured outputs, nested schemas, and multi-agent coordination.
  • You read, edit, and contribute to a real platform codebase-APIs, runtime, storage-not just an SDK.
  • Solid APIs, distributed systems, and cloud-native engineering, with production-reliability instincts.

Even Better...
  • Experience evaluating agents-task success, groundedness, tool-use accuracy, schema conformance, and regression against golden fixtures.
  • Experience with tool/context interoperability protocols (such as MCP).
  • Experience with a major cloud platform (AWS preferred), containerization, and CI/CD; familiarity with state stores for orchestration and persistence.
  • AI observability and evaluation tooling for LLM systems.
  • RAG and memory patterns: vector databases, hybrid retrieval, re-ranking, and grounding.
  • Secure execution, sandboxing, and prompt-injection mitigation.

What You'll Gain
  • A front-row seat building enterprise agentic AI infrastructure that teams across Pearson rely on.
  • Real ownership of orchestration, routing, and platform patterns others adopt.
  • A collaborative, inclusive, and innovation-driven culture.
  • Access to cutting-edge tools, platforms, and thought leadership.

Why Pearson?
At Pearson, we don't just build careers-we accelerate them. Known for our strong culture of internal mobility and leadership development, we offer a clear path to broader technical and leadership roles.
We believe great work deserves great rewards. That's why we offer some of the most competitive benefits in the industry-designed to support the diverse needs of our people and their families. Explore our Benefits.
At Pearson, we're reimagining learning through technology. If you're an engineer who thrives in complexity, builds with craft, and is excited to put AI agents to work at scale-we'd love to hear from you.
Compensation at Pearson is influenced by factors including skill set, experience, and location.
The full-time salary range for this role is $90,000 - $135,000.
This position is eligible to participate in an annual incentive program. Information on benefits can be found here.
Applications will be accepted through 5th August 2026. This window may be extended depending on business needs.
Apply today and imagine the impact you can make.
#LI-P1
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Engineering
Job Family: TECHNOLOGY
Organization: OCTO
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 24929

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