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Iter Jobs (NOW HIRING)

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Iter information

What are some common challenges faced by Iter professionals when managing iterative development cycles?

Iter professionals often encounter challenges such as balancing the need for rapid iteration with maintaining code quality and clear documentation. They must also adapt to frequently changing requirements and ensure effective communication across cross-functional teams. Managing stakeholder expectations during each iteration and prioritizing features or bug fixes efficiently are key aspects of the role. Proactive collaboration and strong organizational skills can help address these challenges and ensure successful project outcomes.

What is the difference between Iter vs Data Analyst?

AspectIterData Analyst
Required CredentialsTypically a background in computer science, software development, or engineeringUsually a degree in statistics, mathematics, or related fields
Work EnvironmentPrimarily in software development teams, focusing on iterative software processesOften in business or research settings analyzing data sets
Industry UsageCommon in tech, software, and product development industriesWidely used across finance, marketing, healthcare, and research sectors
Search & Comparison IntentPeople compare Iter with roles involving software processes or developmentPeople compare Data Analyst with roles involving data interpretation and reporting

While both roles involve analytical skills, Iter focuses on iterative software development processes, whereas Data Analysts specialize in interpreting data to inform business decisions. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What is the current status of ITER?

ITER is an international nuclear fusion research project aimed at demonstrating the feasibility of fusion power. As of now, construction is ongoing with key components being assembled, and the project is expected to achieve first plasma in the mid-2020s. The project involves collaboration among multiple countries and requires specialized skills in engineering, physics, and project management.

How to join ITER?

To join ITER as a staff member or researcher, candidates typically need to apply through the official ITER organization website, submit relevant qualifications such as degrees in engineering or physics, and meet specific experience requirements. The organization often seeks individuals with skills in project management, technical expertise, and language proficiency, and may require security clearances or background checks depending on the role.

What are Iter jobs?

Iter jobs typically refer to positions at Iter, which is an international nuclear fusion research and engineering project aimed at demonstrating the feasibility of fusion as a large-scale and carbon-free source of energy. Working at Iter involves various roles, including engineering, project management, scientific research, and technical support, all focused on developing and operating the world's largest experimental fusion reactor. Employees at Iter collaborate with international teams to solve complex technical challenges and contribute to the advancement of fusion energy research.

What are the key skills and qualifications needed to thrive as an ITer, and why are they important?

To thrive as an IT professional, you need strong analytical abilities, a solid understanding of computer systems, and relevant qualifications such as a degree in Information Technology or Computer Science. Familiarity with common operating systems, networking protocols, and certifications like CompTIA A+, Cisco CCNA, or Microsoft certifications is often required. Excellent problem-solving, communication skills, and adaptability help set you apart in dynamic IT environments. These skills and qualifications are crucial for ensuring efficient technology operations, troubleshooting issues, and supporting organizational goals.

Is ITER still relevant?

ITER is a large international project focused on developing nuclear fusion as a potential energy source, not a job role. For those interested in fusion technology or nuclear engineering, the project remains relevant as a research and development effort in the field of clean energy. Careers in this area often require specialized skills in physics, engineering, and project management.

Who is working on ITER?

The ITER project involves a large international team of scientists, engineers, and technicians from countries including the European Union, the United States, China, India, Japan, South Korea, and Russia. These professionals work collaboratively to develop and operate the world's largest experimental fusion reactor, often requiring specialized skills in nuclear engineering, plasma physics, and project management. The project employs a diverse workforce across multiple research facilities and construction sites worldwide.
More about Iter jobs
What are the most commonly searched types of Iter jobs? The most popular types of Iter jobs are:
What states have the most Iter jobs? States with the most job openings for Iter jobs include:
Infographic showing various Iter job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Physical job distribution.

User Researcher, AI Evaluations

Notion Labs, Inc

San Francisco, CA โ€ข On-site

Full-time

Posted 15 days ago


Job description

Who We Are
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work.
About the Role:
We're seeking an experienced UX Researcher to define and scale how we evaluate Notion's AI-powered experiences-focusing on what "good" looks like not only for model output quality, but for the end-to-end product experience where people discover, set goals, delegate work, review results, and build trust over time with AI.
This role sits at the intersection of research craft and evaluation operations: you'll run studies that uncover user mental models, expectations, and failure/recovery behaviors, then translate those insights into reusable rubrics, workflows, and measurement approaches that product, design, engineering, and data science can apply consistently.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.
What You'll Achieve:
  • Define what "good" looks like (frameworks & rubrics): Establish clear, reusable evaluation criteria that reflect real user expectations-helpfulness, trust, tone, control, and transparency. You'll translate qualitative insight into scoring guidance that can be applied consistently across teams and over time.
  • Run recurring evals (longitudinal & feature-specific): Run recurring longitudinal and feature-specific surveys and studies to measure experience quality over time against defined rubrics. Lead qualitative studies, side-by-side comparisons, and human-in-the-loop evaluation efforts to deepen understanding of where experiences break down and how they can improve. You'll help teams spot regressions, benchmark improvements, and understand when expectations shift.
  • Anchor evaluation in real workflows (context > isolated feedback): Ensure evals reflect jobs-to-be-done, user intent, and the full interaction journey (goal setting, delegation, review, iteration), not just decontextualized thumbs up/down. You'll help teams understand who is evaluating, what they're trying to do, and why outputs succeed or fail.
  • Identify failure modes & recovery behavior (guardrails): Uncover breakdowns, regressions, and edge cases across the system-from model behavior to UI and integrations-and study how people notice issues, correct them, and continue their work. You'll turn these insights into actionable guidance for guardrails, fixes, and prioritization.
  • Operationalize evaluation with partners (process & tooling): Collaborate closely with Product, Design, Engineering, and Data Science to align on target use cases and build scalable evaluation loops (human-in-the-loop review, longitudinal studies, and calibration of automated/LLM-judge approaches against human judgment).

Skills You'll Need to Bring:
  • Ability to operationalize insight into measurement: You're comfortable turning "soft" user expectations (trust, tone, usefulness, clarity) into concrete rubrics, scoring guidelines, and observable metrics.
  • AI fluency and systems thinking: You're curious and hands-on with AI products, and can reason about how model behavior, uncertainty, and system constraints shape user experience. You also have experience evaluating AI-enabled products (LLMs, agents, generative UI/workflow automation) and working with Data Science/ML partners on measurement strategy and evaluation tooling.
  • Clear communication and impact orientation: You can align diverse partners around shared definitions of quality and create artifacts that enable teams to act consistently. You tailor storytelling to different audiences, connect research to business outcomes, and drive follow-through so insights translate into product change.
  • Strong UX research craft (quant + qual): You can choose the right methods for the question- interviews, benchmarking, surveys, experiments-and synthesize into actionable guidance. You also can prioritize ruthlessly, work through ambiguity, and balance scrappy iteration with deep dives when needed.
  • Pragmatism in fast-moving environments: You can prioritize ruthlessly, work through ambiguity, and balance scrappy iteration with deep dives when needed.
  • Experience: 5+ years doing UX research in industry

Nice to Haves:
  • Familiarity with LLM-as-judge methods, prompt design for evaluators, or "golden dataset" creation
  • Experience using AI research tooling for rapid synthesis and communication (e.g., Dovetail, Listen Labs, Maze, Outset, etc.), as well as AI observability tooling like Braintrust
  • Experience using data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)
  • Master's or PhD in HCI, Psychology, Behavioral Science, Anthropology, Sociology, or a related field
  • You're familiar with the work of computing heroes like Douglas Engelbart, Alan Kay, Bret Victor, etc. - and understand why we're big fans.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $196,000-$230,000 per year.
By clicking "Submit Application", I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion's Global Recruiting Privacy Policy and NYLL 144.
#LI-Onsite
A Note on AI
You don't need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement - when that's the case, we'll say so explicitly in the qualifications. People who thrive here don't treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
Equal Opportunity & Accommodations
We hire talented people from a wide range of backgrounds. If you're excited about this role but don't meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.