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Available Positions

Critical Designer, Data Genesis

The AI Now Institute at New York University is seeking a full-time Critical Designer to advance AI Now’s Data Genesis Program. We welcome qualified candidates from all disciplines to apply.

About the Data Genesis Program

Machine learning systems are profoundly influenced by the data they’re trained on and evaluated against. Yet there has been a lack of research into the processes of how such data is created, labeled, and used in practice. Since our first Data Genesis workshop in 2017, the AI Now Institute has been developing new approaches to study, assess and understand the connection between the data that shapes machine learning systems, and the biases and limitations such systems exhibit when applied.

What type of information is used as training data? Who generates and collects it and for what purpose? Which populations does it reflect? Who and what does it exclude? How does that affect the functioning of AI systems themselves? And how could it be improved? These are some of the questions the Data Genesis Program will address. Additional information can be found in our program announcement here.

Key Responsibilities

Working closely with the program’s Principal Investigators, the Critical Designer will scope, iterate, and develop meaningful visualizations based on AI Now’s Data Genesis research. These will help communicate the nature and importance of the work to a broader audience and illuminate our findings, analyses, and methods. This work will further map and expose the ways in which training data is constructed and the implications of their use in the context of socially-deployed AI models.

As a member of the Data Genesis program team, the Critical Designer will develop novel visual approaches to representing our research methods and outputs with an emphasis on the social and political implications of datasets, and their reach and impact across core AI systems. This work would develop modes of visual representation and communication that are capable of reaching far broader audiences beyond what academic papers, policy briefs, and reports would alone.

In this role, you will:

  • Design and iterate on visualizations for Data Genesis research products to further serve the purpose of legibly and effectively communicating urgent issues in the social impacts of Artificial Intelligence.
  • Create regular stream of high quality original digital assets to tell the story of our work.
  • Contribute to AI Now’s broader research agenda and organizational programs, aligned with your interests and capacity.
  • Help build AI Now. On a small and growing team, every member has an important role in building the systems, processes, and culture that make up our organization.

Compensation

This is a full-time two-year position, with the possibility of renewal. Annual salary is commensurate with experience. We offer a competitive benefits package through New York University, including health coverage, dental and vision plans, and retirement, as well as generous paid time off and supportive parental leave policies. Additionally, you will have access to annual professional development funds. Relocation assistance may be provided as needed.

Preferred Qualifications

Candidates should be driven to understand the social and political implications of AI and related systems and be interested in working in an interdisciplinary environment. Candidates from any academic discipline are encouraged to apply. Additionally, candidates should have:

  • At least 5 years’ relevant professional experience.
  • Formal academic background, such as a BFA in Graphic Design, Digital Media Design, Communication Design, or commensurate work experience; advanced degree a plus, Bachelor’s degree required.
  • A strong design portfolio, in line with your career stage, that demonstrates your experience making research interventions using visual methodologies.
  • Excellent communication skills with the ability to translate technical topics into compelling narratives for a range of audiences and contexts.
  • Ability to think across disciplines and collaborate with researchers, technologists, and public audiences around understanding the implications of AI.
  • Effective time management skills to balance multiple project schedules with fast-paced deadlines.
  • Genuine commitment to building healthy teams and collaborations and to mentoring junior staff.
  • Ability to work on-site at our offices in New York City; while there may be opportunities to work remotely on occasion, this job will necessitate your being on-site.

New York University is an Equal Opportunity Employer. New York University is committed to a policy of equal treatment and opportunity in every aspect of its hiring and promotion process without regard to race, color, creed, religion, sex, pregnancy or childbirth (or related medical condition), sexual orientation, partnership status, gender and/or gender identity or expression, marital, parental or familial status, caregiver status, national origin, ethnicity, alienage or citizenship status, veteran or military status, age, disability, predisposing genetic characteristics, domestic violence victim status, unemployment status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

Application Instructions

Please submit your application via our online form here. Be sure to include the following:

  • Your Resume/CV
  • A brief cover letter: in 1 page or less, tell us about what interests you about the role, and how your experience and background would enable you to contribute
  • Two writing samples in English (articles, blog posts, book chapters, dissertation chapter, or equivalent)
  • Link to your design portfolio (with at least 3 examples of your past work)
  • Contact information for two professional references (we will notify you before we reach out to them)

Feel free to contact us should you have any questions about the position or the application process at [email protected]

Data Protection Policy

AI Now strives to minimize data collection and limit use of data to the specific purpose for which it is collected. For job applications, we use a series of third party services to help store and organize applicant information. After our hiring process concludes, we save the minimal amount of data required for our HR compliance records and delete the rest. Unless compelled by legal process or pursuant to the applicant’s permission, we do not share any information we receive from applicants with any external person or entity. Should we receive any such legal process, we will attempt to notify the individual whose data is at issue if at all possible in a timely manner.

About the AI Now Institute at NYU

The AI Now Institute at New York University is an interdisciplinary research institute dedicated to understanding the social implications of AI technologies. It is the first university research center focused specifically on AI’s social significance. Founded and led by Kate Crawford and Meredith Whittaker, AI Now is one of the few women-led AI institutes in the world.

AI Now works with a broad coalition of stakeholders, including academic researchers, industry, civil society, policy makers, and affected communities, to identify and address issues raised by the rapid introduction of AI across core social domains. AI Now produces interdisciplinary research to help ensure that AI systems are accountable to the communities and contexts they are meant to serve, and that they are applied in ways that promote justice and equity. The Institute’s current research agenda focuses on four core areas: bias and inclusion, rights and liberties, labor and automation, and safety and critical infrastructure.

AI Now is affiliated across six different NYU faculties: the Tandon School of Engineering, the Steinhardt School of Culture, Education, and Human Development, the Law School, the Stern School of Business, the Center for Data Science, and the Courant Institute of Mathematical Sciences.

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Graduate Research Assistant

AI Now is seeking Graduate Research Assistants (GRAs) to support a range of research projects. Positions are available for this spring semester (now-May 2020), the summer (June-August 2020), and for the 2020-2021 Academic Year. Please indicate your availability in the application below.

Graduate Research Assistant

Graduate Research Assistants will work closely with senior members of our team to support AI Now’s cutting-edge research agenda. These part-time positions are ideal for graduate students looking to gain exposure to the developing interdisciplinary field surrounding the social and political implications of artificial intelligence and machine learning technologies.

We have a number of GRA positions available across a range of ongoing projects. GRAs may be assigned to one specific topic area or a range of areas, depending on your interest and experience.

Currently, we are seeking GRAs to provide generalized support across projects and for GRAs to provide specific support to our Gender, Race, Power and AI program and our Data Genesis program.

The Gender, Race, Power and AI program, led by Dr. Joy Rankin, works to illuminate the multifarious ways in which artificial intelligence and associated technologies concentrate power in highly gendered and racialized structures in the United States and around the world.

The Data Genesis Program seeks to study, assess and understand the connection between the data that shapes machine learning systems, and the biases and limitations such systems exhibit when applied.

Key Responsibilities

Key responsibilities and activities may include:

  • Conducting interdisciplinary literature reviews, archival research, and ethnographic interviews
  • Synthesizing research papers and findings for written and oral presentation to senior researchers
  • Note-taking and summarizing of meetings, events, and interviews
  • Proofreading and copyediting draft publications, including reports and academic articles, for grammar, style, and verification of citations and evidence
  • Planning and organizing research workshops and convenings

Preferred Qualifications

We welcome graduate students with any disciplinary or experiential background to apply, including technical and non-technical backgrounds, and especially those with experience in Science and Technology Studies, History, Media Studies, Critical Race and Gender Studies, Disability Studies, Literature, Sociology, Anthropology, and Philosophy.

We will also be looking for:

  • Excellent communication skills and high level of professionalism
  • Strong writing and editing abilities
  • Proven research and analytical skills
  • Impeccable attention to detail
  • Ability to work both independently and collaboratively
  • Interest in helping develop and produce interdisciplinary research on the social and political implications of AI

Requirements

Candidates must be currently enrolled in a graduate program, and available to work 15-25 hours per week for the summer and/or 12-20 hours per week during the fall and spring semesters. Most of the work will take place on-site at our offices in Manhattan. We have a number of GRA positions available, some positions may require work to take place on-site at our offices in NYC; some remote work is available.

New York University is an Equal Opportunity Employer. New York University is committed to a policy of equal treatment and opportunity in every aspect of its hiring and promotion process without regard to race, color, creed, religion, sex, pregnancy or childbirth (or related medical condition), sexual orientation, partnership status, gender and/or gender identity or expression, marital, parental or familial status, caregiver status, national origin, ethnicity, alienage or citizenship status, veteran or military status, age, disability, predisposing genetic characteristics, domestic violence victim status, unemployment status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

Application Instructions

Please submit your application here. Be sure to include the following:

  • Your Resume/CV
  • A brief cover letter: in 1 page or less, tell us about what interests you about the role, and how your experience and background would enable you to contribute
  • You school name, degree type, discipline, and expected graduation year
  • What year you are in your program
  • The semesters you’re applying for/are available to work
  • Two writing samples in English (articles, blog posts, book chapters, dissertation chapter, or equivalent)
  • Contact information for two references, faculty preferred (we will notify you before we reach out to them)

Feel free to contact us should you have any questions about the position or the application process at [email protected]

Data Protection Policy

AI Now strives to minimize data collection and limit use of data to the specific purpose for which it is collected. For job applications, we use a series of third party services to help store and organize applicant information. After our hiring process concludes, we save the minimal amount of data required for our HR compliance records and delete the rest. Unless compelled by legal process or pursuant to the applicant’s permission, we do not share any information we receive from applicants with any external person or entity. Should we receive any such legal process, we will attempt to notify the individual whose data is at issue if at all possible in a timely manner.

About the AI Now Institute at NYU

The AI Now Institute at New York University is an interdisciplinary research institute dedicated to understanding the social implications of AI technologies. It is the first university research center focused specifically on AI’s social significance. Founded and led by Kate Crawford and Meredith Whittaker, AI Now is one of the few women-led AI institutes in the world.

AI Now works with a broad coalition of stakeholders, including academic researchers, industry, civil society, policy makers, and affected communities, to identify and address issues raised by the rapid introduction of AI across core social domains. AI Now produces interdisciplinary research to help ensure that AI systems are accountable to the communities and contexts they are meant to serve, and that they are applied in ways that promote justice and equity. The Institute’s current research agenda focuses on four core areas: bias and inclusion, rights and liberties, labor and automation, and safety and critical infrastructure.

AI Now is affiliated across six different NYU faculties: the Tandon School of Engineering, the Steinhardt School of Culture, Education, and Human Development, the Law School, the Stern School of Business, the Center for Data Science, and the Courant Institute of Mathematical Sciences.

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Research Lead, Data Genesis

The AI Now Institute at New York University is seeking a full-time Research Lead to oversee AI Now’s Data Genesis Program. We welcome qualified candidates from all disciplines to apply.

About the Data Genesis Program

Machine learning systems are profoundly influenced by the data they’re trained on and evaluated against. Yet there has been a lack of research into the processes of how such data is created, labeled, and used in practice. Since our first Data Genesis workshop in 2017, the AI Now Institute has been developing new approaches to study, assess and understand the connection between the data that shapes machine learning systems, and the biases and limitations such systems exhibit when applied.

What type of information is used as training data? Who generates and collects it and for what purpose? Which populations does it reflect? Who and what does it exclude? How does that affect the functioning of AI systems themselves? And how could it be improved? These are some of the questions the Data Genesis Program will address. Additional information can be found in our program announcement here.

Key Responsibilities

Reporting to AI Now’s Leadership Team, the Research Lead will be responsible for advancing the program’s strategy, research, engagements, and impact. You will conduct original research, manage and mentor the Data Genesis research team, and steward relationships with external collaborators, funders, and community partners. This work will lead to peer-reviewed publications in addition to workshops and other outputs and activities that aim to engage diverse stakeholders and broaden public understanding of these topics. In this role, you will:

  • Further develop, implement, and manage the Institute’s overall vision for this program, which includes three core components:
    • Analyzing the origin and construction of key datasets that serve as foundations for today’s AI systems, and working to archive key datasets;
    • Working with a designer to produce visualizations, maps, and other representations that help illustrate and contextualize what data is and its social implications;
    • Convening experts from across disciplines to help build shared approaches around this topic.
  • Oversee multiple interdisciplinary research projects under this program from design to publication, guiding collaborative teams toward shared outcomes with clear roles and deadlines.
  • Communicate your work with a wider public audience (via academic papers, op-eds, journal articles, blog posts, panels, interviews, etc.).
  • Cultivate meaningful research- and community-based partnerships that lead to collaborative opportunities, shared research projects and agendas, and ongoing knowledge sharing.
  • Lead and participate in reading groups, working groups, workshops, and other gatherings related to the Data Genesis program.
  • Build out, manage, and mentor the Data Genesis research team and advise staff and affiliates engaged in research on related topics.
  • Contribute to AI Now’s broader research agenda, participating in projects that are adjacent to the Data Genesis program and aligned with your interests and capacity.
  • Manage relationships with key funders of this program, drive grant reporting, and support the development team in securing additional funding and renewals for this work.
  • Help build AI Now. On a small and growing team, every member has an important role in building the systems, processes, and culture that make up our organization.

Compensation

This is a full-time two-year position, with the possibility of renewal. Annual salary is commensurate with experience. We offer a competitive benefits package through New York University, including health coverage, dental and vision plans, and retirement, as well as generous paid time off and supportive parental leave policies. Additionally, you will have access to annual professional development funds. Relocation assistance may be provided as needed.

Preferred Qualifications

Candidates should be driven to understand the social and political implications of AI and related systems and be interested in working in an interdisciplinary environment. Candidates from any academic discipline are encouraged to apply. Additionally, candidates should have:

  • A demonstrated ability to plan, organize, manage, and publish rigorous research related to this program; experience with interdisciplinary research preferred.
  • Generally conversant in AI/ML techniques and research, with the ability to draw connections between a system’s training data, design, and social implications.
  • A strong research track record, in line with your career stage, demonstrated by journal publications and/or conference papers and other forms of academic participation.
  • At least 5 years of relevant professional experience; Candidates who have completed a PhD or have equivalent experience are preferred. Bachelor’s degree required.
  • Excellent communication skills with the ability to translate technical topics into compelling narratives for a range of audiences and contexts.
  • Strong leadership and management skills, with a genuine commitment to building healthy teams and mentoring junior staff.
  • Ability to work on-site at our offices in New York City; while there may be opportunities to work remotely on occasion, this job will necessitate your being on-site.

New York University is an Equal Opportunity Employer. New York University is committed to a policy of equal treatment and opportunity in every aspect of its hiring and promotion process without regard to race, color, creed, religion, sex, pregnancy or childbirth (or related medical condition), sexual orientation, partnership status, gender and/or gender identity or expression, marital, parental or familial status, caregiver status, national origin, ethnicity, alienage or citizenship status, veteran or military status, age, disability, predisposing genetic characteristics, domestic violence victim status, unemployment status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

Application Instructions

Please submit your application here. Be sure to include the following:

  • Your Resume/CV
  • A brief cover letter: in 1 page or less, tell us about what interests you about the role, and how your experience and background would enable you to contribute
  • Two writing samples in English (articles, blog posts, book chapters, dissertation chapter, or equivalent)
  • Contact information for two professional references (we will notify you before we reach out to them)

Feel free to contact us should you have any questions about the position or the application process at [email protected]

Data Protection Policy

AI Now strives to minimize data collection and limit use of data to the specific purpose for which it is collected. For job applications, we use a series of third party services to help store and organize applicant information. After our hiring process concludes, we save the minimal amount of data required for our HR compliance records and delete the rest. Unless compelled by legal process or pursuant to the applicant’s permission, we do not share any information we receive from applicants with any external person or entity. Should we receive any such legal process, we will attempt to notify the individual whose data is at issue if at all possible in a timely manner.

About the AI Now Institute at NYU

The AI Now Institute at New York University is an interdisciplinary research institute dedicated to understanding the social implications of AI technologies. It is the first university research center focused specifically on AI’s social significance. Founded and led by Kate Crawford and Meredith Whittaker, AI Now is one of the few women-led AI institutes in the world.

AI Now works with a broad coalition of stakeholders, including academic researchers, industry, civil society, policy makers, and affected communities, to identify and address issues raised by the rapid introduction of AI across core social domains. AI Now produces interdisciplinary research to help ensure that AI systems are accountable to the communities and contexts they are meant to serve, and that they are applied in ways that promote justice and equity. The Institute’s current research agenda focuses on four core areas: bias and inclusion, rights and liberties, labor and automation, and safety and critical infrastructure.

AI Now is affiliated across six different NYU faculties: the Tandon School of Engineering, the Steinhardt School of Culture, Education, and Human Development, the Law School, the Stern School of Business, the Center for Data Science, and the Courant Institute of Mathematical Sciences.

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Postdoctoral Researcher

The call for applications for the next cohort of postdoctoral researchers has closed. We will begin accepting applications for our next cohort in the fall of 2020. Please contact [email protected] with any questions.