Effective Altruism Forum
EA Forum

Hide table of contents
by merilalama
5 min read 0

21

AI safetyForecastingCareer choiceOpportunities to take actionAI forecastingEpoch AIJob listing (open)Hiring
Frontpage
This is a linkpost for https://careers.rethinkpriorities.org/postings/47a2c3b3-8232-475e-97ea-920da0fb3e88?token=rvYw3Ln2zcW481BifNMfAT6d

TL;DR

Epoch is hiring of a Product and Data Visualization Designer to own the design and visual communication of our research. This role is fully remote and we are able to hire in many countries. Annual salary is between $60,000 and $80,000 USD, not restricted to this currency. If you have questions or would like to share any leads, please write to us at careers@epochai.org. 

About the Position

Epoch is in search of a Product and Data Visualization Designer to own the design and visual communication of our research. The person in this role will be the creative force behind how our research is experienced and understood globally. They will help us articulate complex data and insights through UI and UX that is both intuitive and engaging, and maintain a cohesive visual identity across all of Epoch's communication channels, including our website, interactive dashboards, and data visualizations. This work will be key for enhancing our dialogue with the research community and stakeholders.

The successful candidate will report to head of operations María de la Lama, and work closely with our head of software engineering Eduardo Roldán and our data scientist Robi Rahman.

This role is fully remote, and we are able to hire in many countries (see “Additional information” for details). We welcome both full-time and part-time applicants, with a preference for full-time candidates. 
 

About Epoch

Epoch is a research institute that investigates trends in machine learning and the economic consequences of AI.

Our work informs research and policy-making at the UK Department of Science, Innovation and Technology, Anthropic, the Centre for the Governance of AI, the Centre for Data Ethics and Innovation, Open Philanthropy, the Center for Security and Emerging Technology and elsewhere. Epoch’s research has been cited in media publications such as the MIT Technology Review and The Economist, and underpins Our World In Data’s AI visualizations.

You can learn more about our work in this summary dashboard or our blog.


Key Responsibilities

  • Maintaining and updating the design of our website.
  • Designing graphs and visualizations for our interactive reports, papers and presentations, to ensure we are communicating our research effectively.
  • Designing and reviewing interactive dashboards to summarize our research (example).
  • Designing and reviewing playgrounds for interactive models of AI and automation (example 1, example 2)
  • Designing various other external facing documents and templates, such as our newsletter or reports for stakeholders.
  • Conducting user research and interviews with our stakeholders on design elements.
  • Depending on your interests and skills, you could get involved in other aspects of our communications, such as homogenizing the structure and style of our papers, among others.

What We Are Looking For

Requirements

  • At least 3 years of UI and UX experience, incl. web design, graphic design, and brand design
  • At least 1 year of data visualization experience, incl. creating charts and data visualizations for publications, marketing and UI dashboards
  • Portfolio showcasing work in UI/UX and data visualization
  • Aesthetic intuition to create visually appealing and effective designs
  • Skill in communicating complex insights to non-expert audiences.
  • Experience in Figma or a similar UI software
  • Intellectual curiosity and open-mindedness
  • Interest in Epoch’s work

Nice to have

  • 4 or more years of UI and UX experience.
  • 2 or more years of data visualization experience.
  • Familiarity with Epoch’s research or related topics.
  • Experience with scientific communication.
  • Front-end development experience in HTML + CSS + JS.
  • Experience with Pyplot, Plotlib or other data visualization programming tools.
  • Good written communication skills.

Benefits

Compensation

  • Annual salary between the following ranges pre-tax for a full-time position.
    • $60,000 - $80,000 USD
    • €55,604 - €74,139
    • £47,586 - £63,448
  • Payments are not restricted to the currencies listed above, and may be made in different currencies and payment intervals depending on the location of applicants and legal requirements. 
  • Conversions from base salaries in USD are based on 1-year-average exchange rates that are updated annually.
     

Other Benefits

  • Flexible work hours and location
  • Comprehensive global benefits package (while they vary by country, we make every effort to ensure that our benefits package is equitable and high-quality for all staff) 
  • Generous paid time off leave, including, but not limited to:
  • Unlimited vacation with a minimum of 30 days off per year
  • Unlimited (within reason) personal and sick leave
  • Parental leave - up to 6 months of parental leave during the first 2 years after a child’s birth or adoption for parents of all genders
  • For more details about our benefits, please see our Benefit Package for Permanent Roles
  • A caring team that values respectful work relations and a healthy work-life balance
  • Opportunities to grow/advance your career and engage in professional development
  • Low administrative bureaucracy
  • We don’t provide snacks but we could mail you a box of Oreos if you want!

Additional Information

  • Please email careers@epochai.org if you have any questions about this role.
  • While we welcome applicants from all time zones, you may be expected to attend meetings during working hours between UTC-8 and UTC+3 time zones, where most of our staff are based. This role is open only to full-time candidates who are available to work at 40 hours per week.
  • Extension requests: We will try to accommodate extension requests that are made before the deadline and are up to five (5) days. We generally cannot accommodate extension requests made on or after the application deadline, or are longer than 5 days, and cannot accept late submissions to ensure fairness to other applicants.
  • Language: Please submit all of your application materials in English and note that we require professional level English proficiency.
  • Travel: Travel is not an essential requirement for this position. However, a majority of our staff travel a few times per year for conferences, retreats, and other work-related purposes. In most cases, travel is not mandatory, but encouraged. 
  • Accessibility: We’re committed to running an inclusive and accessible application process. We warmly invite you to reach out to careers@epochai.org with any questions or accessibility requests such as chat box use during interviews.
  • Inclusivity and fairness:  Epoch is committed to building an inclusive, equitable, and supportive community for you to thrive and do your best work. We’re committed to finding the best people for our team, so please don’t hesitate to apply for a role regardless of your age, gender identity/expression, political identity, personal preferences, physical abilities, veteran status, neurodiversity or any other background. We provide reasonable accommodations and benefits, including, for example, flexible work schedules and locations, mental health coverage in medical benefits (as available), and budgets, to purchase assistive technology or engage in job coaching.
  • Epoch is fiscally sponsored by Rethink Priorities.

21

0
0

Reactions

0
0

More posts like this

Comments


No comments on this post yet.
Be the first to respond.
More from merilalama
63
Rethink Priorities’ Special Projects Team is hiring
2 authors
· · 7m read
4
4
38
Epoch and FRI Mentorship Program Summer 2023
merilalama
· · 1m read
1
1
View more
Curated and popular this week
 ·  · 5m read
 · 
This work has come out of my Undergraduate dissertation. I haven't shared or discussed these results much before putting this up.  Message me if you'd like the code :) Edit: 16th April. After helpful comments, especially from Geoffrey, I now believe this method only identifies shifts in the happiness scale (not stretches). Have edited to make this clearer. TLDR * Life satisfaction (LS) appears flat over time, despite massive economic growth — the “Easterlin Paradox.” * Some argue that happiness is rising, but we’re reporting it more conservatively — a phenomenon called rescaling. * I test rescaling using long-run German panel data, looking at whether the association between reported happiness and three “get-me-out-of-here” actions (divorce, job resignation, and hospitalisation) changes over time. * If people are getting happier (and rescaling is occuring) the probability of these actions should become less linked to reported LS — but they don’t. * I find little evidence of rescaling. We should probably take self-reported happiness scores at face value. 1. Background: The Happiness Paradox Humans today live longer, richer, and healthier lives in history — yet we seem no seem for it. Self-reported life satisfaction (LS), usually measured on a 0–10 scale, has remained remarkably flatover the last few decades, even in countries like Germany, the UK, China, and India that have experienced huge GDP growth. As Michael Plant has written, the empirical evidence for this is fairly strong. This is the Easterlin Paradox. It is a paradox, because at a point in time, income is strongly linked to happiness, as I've written on the forum before. This should feel uncomfortable for anyone who believes that economic progress should make lives better — including (me) and others in the EA/Progress Studies worlds. Assuming agree on the empirical facts (i.e., self-reported happiness isn't increasing), there are a few potential explanations: * Hedonic adaptation: as life gets
 ·  · 38m read
 · 
In recent months, the CEOs of leading AI companies have grown increasingly confident about rapid progress: * OpenAI's Sam Altman: Shifted from saying in November "the rate of progress continues" to declaring in January "we are now confident we know how to build AGI" * Anthropic's Dario Amodei: Stated in January "I'm more confident than I've ever been that we're close to powerful capabilities... in the next 2-3 years" * Google DeepMind's Demis Hassabis: Changed from "as soon as 10 years" in autumn to "probably three to five years away" by January. What explains the shift? Is it just hype? Or could we really have Artificial General Intelligence (AGI)[1] by 2028? In this article, I look at what's driven recent progress, estimate how far those drivers can continue, and explain why they're likely to continue for at least four more years. In particular, while in 2024 progress in LLM chatbots seemed to slow, a new approach started to work: teaching the models to reason using reinforcement learning. In just a year, this let them surpass human PhDs at answering difficult scientific reasoning questions, and achieve expert-level performance on one-hour coding tasks. We don't know how capable AGI will become, but extrapolating the recent rate of progress suggests that, by 2028, we could reach AI models with beyond-human reasoning abilities, expert-level knowledge in every domain, and that can autonomously complete multi-week projects, and progress would likely continue from there.  On this set of software engineering & computer use tasks, in 2020 AI was only able to do tasks that would typically take a human expert a couple of seconds. By 2024, that had risen to almost an hour. If the trend continues, by 2028 it'll reach several weeks.  No longer mere chatbots, these 'agent' models might soon satisfy many people's definitions of AGI — roughly, AI systems that match human performance at most knowledge work (see definition in footnote). This means that, while the compa
 ·  · 4m read
 · 
SUMMARY:  ALLFED is launching an emergency appeal on the EA Forum due to a serious funding shortfall. Without new support, ALLFED will be forced to cut half our budget in the coming months, drastically reducing our capacity to help build global food system resilience for catastrophic scenarios like nuclear winter, a severe pandemic, or infrastructure breakdown. ALLFED is seeking $800,000 over the course of 2025 to sustain its team, continue policy-relevant research, and move forward with pilot projects that could save lives in a catastrophe. As funding priorities shift toward AI safety, we believe resilient food solutions remain a highly cost-effective way to protect the future. If you’re able to support or share this appeal, please visit allfed.info/donate. Donate to ALLFED FULL ARTICLE: I (David Denkenberger) am writing alongside two of my team-mates, as ALLFED’s co-founder, to ask for your support. This is the first time in Alliance to Feed the Earth in Disaster’s (ALLFED’s) 8 year existence that we have reached out on the EA Forum with a direct funding appeal outside of Marginal Funding Week/our annual updates. I am doing so because ALLFED’s funding situation is serious, and because so much of ALLFED’s progress to date has been made possible through the support, feedback, and collaboration of the EA community.  Read our funding appeal At ALLFED, we are deeply grateful to all our supporters, including the Survival and Flourishing Fund, which has provided the majority of our funding for years. At the end of 2024, we learned we would be receiving far less support than expected due to a shift in SFF’s strategic priorities toward AI safety. Without additional funding, ALLFED will need to shrink. I believe the marginal cost effectiveness for improving the future and saving lives of resilience is competitive with AI Safety, even if timelines are short, because of potential AI-induced catastrophes. That is why we are asking people to donate to this emergency appeal
Recent opportunities in AI safety
54
Stripe Economics of AI Fellowship
basil.halperin
· · 3m read
0
0
43
Center on Long-Term Risk: Summer Research Fellowship 2025
Center on Long-Term Risk
· · 1m read
0
0
49
AIS Netherlands is looking for a Founding Executive Director (EOI form)
7 authors
· · 5m read
4
4
View more