ai researcher

Cubitrek Private Limited

<p><b>Job Title:</b> AI Researcher<br/><b>Experience Required:</b> 2+ Years<br/><b>Location:</b> Onsite</p><p><b>Job Overview</b></p><p>We are looking for a motivated and detail-oriented <b>AI Researcher</b> to join our team. The ideal candidate should have a strong background in <b>Artificial Intelligence research</b>, excellent <b>presentation skills</b>, and strong <b>verbal and written communication abilities</b>. The candidate will be responsible for researching emerging AI technologies, analyzing AI tools and systems, and presenting findings to internal teams.</p><p><b>Key Responsibilities</b></p><ul><li>Conduct research on <b>Artificial Intelligence technologies, tools, and emerging trends</b>.</li><li>Analyze and evaluate <b>AI systems, models, and platforms</b> for potential business applications.</li><li>Prepare <b>research reports, documentation, and presentations</b> based on findings.</li><li>Present research insights and recommendations to internal teams and management.</li><li>Stay updated with the <b>latest developments in AI, machine learning, and automation tools</b>.</li><li>Collaborate with technical teams to support <b>AI-driven projects and initiatives</b>.</li><li>Test and evaluate <b>AI tools and platforms</b> to identify opportunities for improvement and innovation.</li></ul><p><b>Requirements</b></p><ul><li><b>Bachelor&rsquo;s degree</b> in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li><b>Minimum 2 years of experience</b> in AI research or a related field.</li><li>Strong knowledge of <b>AI tools, systems, and technologies</b>.</li><li>Excellent <b>presentation and analytical skills</b>.</li><li>Strong <b>verbal and written communication skills</b>.</li><li>Ability to <b>document research findings and present them clearly</b>.</li><li>Familiarity with <b>machine learning concepts, AI platforms, and automation tools</b>.</li></ul><p><b>Preferred Skills</b></p><ul><li>Experience with <b>AI research methodologies and documentation</b>.</li><li>Knowledge of <b>popular AI tools and frameworks</b>.</li><li>Ability to <b>analyze trends and translate research into practical insights</b>.</li></ul><p>Apply on this link:</p><p>https://jobs.cubitrek.com/public/apply</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>How soon can you join us?</li><li>Expected Salary?</li><li>Current Salary?</li></ul><p>Work Location: In person</p>

AI Researcher

Neuberger Berman

<div><div>We are seeking a highly motivated Applied AI Researcher to contribute to our data science and Ai investment solutions initiatives. This position is open to recent graduates with a strong quantitative foundation and a genuine interest in applied AI research. You will work closely with applied AI researchers, data engineers, equity analysts and portfolio managers to develop AI-driven solutions at the intersection of large language models, agentic workflows, and investment research. The successful candidate will bring intellectual rigor, attention to detail, and a curiosity to explore how emerging AI techniques can meaningfully enhance the research process.</div><div></div><div>
Responsibilities</div><ul><li><div>
Ensure data quality and integrity through rigorous data wrangling and preparation, forming the foundation of reliable AI outputs</div></li><li><div>
Design and evaluate Retrieval-Augmented Generation (RAG) pipelines and prompt/context engineering strategies to improve the relevance and accuracy of LLM outputs in an investment research context</div></li><li><div>
Build and maintain knowledge graph pipelines that organize and connect structured investment data for use in downstream AI applications</div></li><li><div>
Develop and iterate on agentic AI workflows that automate research tasks and surface investment insights for equity analysts and portfolio managers</div></li><li><div>
Collaborate cross-functionally to deliver well-tested, reproducible systems that can be adopted by research teams at scale</div></li></ul><div></div><div>
Qualifications:</div><ul><li><div>
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field</div></li><li><div>
Strong proficiency in Python with demonstrated experience in data manipulation, transformation, and analysis of structured and unstructured datasets</div></li><li><div>
Solid foundational knowledge in data science or machine learning (e.g. Scikit-learn, Pandas, basic NLP)</div></li><li><div>
Exceptional attention to detail and a methodical, rigorous approach to problem solving</div></li><li><div>
Interest in LLMs and agentic AI, with hands-on exposure through coursework, research, or personal projects preferred</div></li><li><div>
Familiarity with software engineering best practices, including version control and code maintainability</div></li><li><div>
Knowledge of knowledge graphs or experience with graph databases is a plus</div></li></ul><div></div><div>
#LI-LN1</div><div>
#LI-Onsite</div><div></div><div>
Visa sponsorship may be available for qualified candidates. Sponsorship decisions will be made in accordance with company policy and applicable laws.</div><div></div><div>
Compensation Details</div><div></div>
The salary range for this role is $125,000-$150,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee&rsquo;s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.<div></div><div>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</div><div></div><div><i>
Neuberger Berman is an equal </i><i>opportunity</i><i> employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact </i><div><i>onlineaccommodations@nb.com</i></div><i>.</i></div><div></div><div><i>
Learn about the </i><div><i>Applicant Privacy Notice</i></div><i>.</i></div></div>

Applied AI Researcher

Lumicity

<div>
 <p>
  <strong>
   AI Research Scientist &ndash; NLP/Computational Linguistics
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  A well-funded applied AI startup is building advanced systems to distinguish human-created content from machine-generated content. The team combines frontier research with real-world deployment, turning cutting-edge ideas into production systems used at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They&rsquo;re hiring an
  <strong>
   AI Research Scientist
  </strong>
  to improve and scale core detection models. This is a hands-on role where you&rsquo;ll train large neural networks, design experiments, and push model performance forward, while also shipping code into production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What You&rsquo;ll Do
 </p>
 <ul>
  <li>
   Train and fine-tune large-scale deep learning models
  </li>
  <li>
   Design experiments to improve robustness and generalization
  </li>
  <li>
   Create and leverage synthetic data at scale
  </li>
  <li>
   Contribute new ideas that materially improve model accuracy
  </li>
  <li>
   Collaborate with engineering to deploy research into production systems
  </li>
  <li>
   Share insights through technical writing or publications where appropriate
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is not a purely academic role, you&rsquo;ll be expected to code, ship, and iterate.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What They&rsquo;re Looking For
 </p>
 <ul>
  <li>
   PhD in ML/AI/NLP (or equivalent research experience at a leading AI lab)
  </li>
  <li>
   Publications at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
   <strong>
    or
   </strong>
   meaningful contributions to deployed AI systems
  </li>
  <li>
   Strong understanding of generative models and modern LLMs
  </li>
  <li>
   Experience training models in PyTorch at scale
  </li>
  <li>
   Evidence your research has led to real-world impact
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Bonus Points
 </p>
 <ul>
  <li>
   Work in robustness, interpretability, synthetic data, or model evaluation
  </li>
  <li>
   Background in NLP, computational linguistics, vision, audio, or other adjacent ML domains
  </li>
  <li>
   Experience with distributed training or ML infrastructure
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Ideal Profile
 </p>
 <ul>
  <li>
   Early-career researcher (including strong new PhDs) who wants applied impact
  </li>
  <li>
   Industry researcher who wants more ownership and product exposure
  </li>
  <li>
   Someone motivated by AI integrity, trust, and responsible deployment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Small team. High ownership. Deep technical problems. Real-world impact.
 </p>
</div>


Research Scientist

OpenAI

Careers
<br><br>
Research Scientist / Research Engineer — Early Career Cohort
<br><br>
Research - San Francisco
<br><br>
About the Program
<br><br>
OpenAI is hiring a
<br><br>
small cohort of exceptional early-career researchers and engineers
<br><br>
to join OpenAI Research.
<br><br>
This opportunity is designed primarily for
<br><br>
current undergraduate students and recent graduates
<br><br>
who have demonstrated technical ability through
<br><br>
elite competitions and challenges.
<br><br>
Participants join OpenAI directly as
<br><br>
full-time Research Scientists / Research Engineers
<br><br>
and begin with an intensive
<br><br>
one-month research bootcamp
<br><br>
designed to immerse them in the core problems behind modern AI systems.
<br><br>
Many of the strongest researchers at OpenAI first distinguished themselves through
<br><br>
mathematics or programming competitions
<br><br>
, and we believe exceptional reasoning ability is one of the strongest predictors of success in frontier AI research.
<br><br>
<b>During the bootcamp participants will:</b><br>
Learn OpenAI’s research infrastructure and tools
<br><br>
Work with a mentor and get direct experience building here
<br><br>
Meet with researchers across multiple OpenAI teams and explore potential research directions
<br><br>
Work on technically demanding research challenges
<br><br>
After the bootcamp, participants enter a
<br><br>
structured team-matching process
<br><br>
before joining a permanent research team.
<br><br>
If you enjoy solving
<br><br>
very difficult problems
<br><br>
and want to work on the frontier of AI, we encourage you to apply.
<br><br>
About the Role
<br><br>
You will join OpenAI as a
<br><br>
full-time Research Scientist / Research Engineer
<br><br>
based in
<br><br>
San Francisco, CA
<br><br>
.
<br><br>
The first month consists of a structured research bootcamp where participants work closely with researchers across the organization before selecting a permanent research team.
<br><br>
This role follows a
<br><br>
hybrid, in-person collaboration schedule in San Francisco
<br><br>
. Relocation assistance may be available.
<br><br>
Who We’re Looking For
<br><br>
This role is designed for
<br><br>
early-career individuals
<br><br>
, especially current undergraduate students and recent graduates.
<br><br>
Strong candidates often demonstrate this through
<br><br>
technical competitions, research, or ambitious independent projects
<br><br>
.
<br><br>
<b>You might be:</b><br>
A top competitor in mathematics or programming competitions (e.g., Olympiads, Putnam, ICPC, or similar contests)
<br><br>
A top performer in an OpenAI-hosted Challenge or similar
<br><br>
A mathematician, physicist, or quantitative researcher interested in the foundations of intelligence
<br><br>
A builder or hacker who has created ambitious technical systems or research prototypes
<br><br>
An exceptional early-career engineer or researcher with strong technical intuition
<br><br>
If you’ve done well in competitions such as the IMO, EGMO, IOI, Putnam, ICPC, or similar contests, we strongly encourage you to apply.
<br><br>
Minimum Qualifications
<br><br>
Demonstrated exceptional mathematical or algorithmic problem-solving ability
<br><br>
Strong ability to reason about complex technical or mathematical systems
<br><br>
Comfort with linear algebra, probability, statistics, and optimization
<br><br>
Evidence of rapid independent learning and technical creativity
<br><br>
Ability to obtain and maintain authorization to work in the United States by the program start date. Candidates who cannot secure appropriate work authorization by the start date may not be eligible for this cohort.
<br><br>
Preferred Qualifications
<br><br>
<b>Candidates often demonstrate this ability through:</b><br>
High-level results in Olympiads, Putnam, ICPC, or similar competitions
<br><br>
Top or novel performance in an OpenAI-hosted Challenge or similar
<br><br>
Research in mathematics, algorithms, theoretical computer science, physics, or machine learning
<br><br>
Independent projects exploring machine learning systems, algorithms, or AI research
<br><br>
Application and Interview Process
<br><br>
Applications will be reviewed on a
<br><br>
rolling basis.
<br><br>
The cohort is expected to
<br><br>
start on June 3, 2026
<br><br>
.⁠
<br><br>
About OpenAI
<br><br>
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
<br><br>
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
<br><br>
Compensation
<br><br>
$295K

Research Scientist / Research Engineer — Early Career Cohort

Stealth AI Startup

<div>
 <p>
  About the Role
 </p>
 <p>
  We are seeking an exceptional Lead Researcher to lead and scale a world-class AI research organization focused on advancing the state of the art in machine learning, large language models, and applied AI systems. This role is both
  <strong>
   strategic and hands-on
  </strong>
  , responsible for defining long-term research vision while actively contributing to breakthrough innovations that directly impact product and business outcomes.
 </p>
 <p>
  As Head of Research, you will build, mentor, and manage a high-caliber team of researchers and research engineers, partner closely with executive leadership, and translate cutting-edge research into scalable, real-world systems.
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Define and own the
   <strong>
    research vision and roadmap
   </strong>
   , aligned with company strategy and long-term goals
  </li>
  <li>
   Lead and grow a team of
   <strong>
    AI Researchers, Applied Scientists, and Research Engineers
   </strong>
  </li>
  <li>
   Drive innovation across areas such as:
  </li>
  <li>
   Large Language Models (LLMs)
  </li>
  <li>
   Reasoning and planning systems
  </li>
  <li>
   Representation learning
  </li>
  <li>
   Robustness, safety, and evaluation
  </li>
  <li>
   Multimodal and agent-based systems
  </li>
  <li>
   Balance
   <strong>
    long-horizon exploratory research
   </strong>
   with
   <strong>
    near-term applied research
   </strong>
   that powers products
  </li>
  <li>
   Ensure research excellence through strong scientific rigor, reproducibility, and evaluation standards
  </li>
  <li>
   Collaborate with Product, Engineering, and Leadership to transition research into production
  </li>
  <li>
   Represent the company externally through publications, conferences, and industry engagement
  </li>
  <li>
   Establish best practices for research processes, tooling, and infrastructure
  </li>
  <li>
   Mentor senior researchers and develop future research leaders
  </li>
 </ul>
 <p>
  Required Qualifications
 </p>
 <ul>
  <li>
   PhD in Computer Science, Machine Learning, AI, or a closely related field (or equivalent research experience)
  </li>
  <li>
   0-7 years of experience in AI/ML research, with at least several years in a
   <strong>
    research role
   </strong>
  </li>
  <li>
   Proven track record of
   <strong>
    high-impact research contributions
   </strong>
   (top-tier conferences, journals, or widely adopted systems)
  </li>
  <li>
   Deep expertise in modern ML techniques, especially
   <strong>
    LLMs, deep learning, and foundation models
   </strong>
  </li>
  <li>
   Experience leading and scaling research teams in industry or advanced research labs
  </li>
  <li>
   Strong understanding of the tradeoffs between research innovation and production constraints
  </li>
  <li>
   Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders
  </li>
 </ul>
 <p>
  Preferred Qualifications
 </p>
 <ul>
  <li>
   Experience leading research at a top AI lab, FAANG company, or well-known AI startup
  </li>
  <li>
   Publications at leading venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
  </li>
  <li>
   Experience with model training at scale, including distributed systems and ML infrastructure
  </li>
  <li>
   Background in deploying research models into real-world products
  </li>
  <li>
   Prior experience influencing company-level technical strategy
  </li>
 </ul>
 <p>
  What We Offer
 </p>
 <ul>
  <li>
   <strong>
    Base salary up to $500,000
   </strong>
   , plus competitive equity
  </li>
  <li>
   Opportunity to shape the future direction of cutting-edge AI research
  </li>
  <li>
   Access to significant compute and research resources
  </li>
  <li>
   Collaboration with elite engineers, researchers, and product leaders
  </li>
  <li>
   A culture that values deep thinking, experimentation, and long-term impact
  </li>
 </ul>
 <p>
 </p>
</div>


AI Scientist - LLMs [32814]

Carnegie Mellon University

<div><div><div><div><div>Carnegie Mellon University: School of Computer Science: HCII
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Pittsburgh, PA
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Mar 18, 2026
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The Human-Computer Interaction Institute (HCII) at Carnegie Mellon University (CMU) invites applications for a two-year Postdoctoral Fellowship focused on advancing human-centered AI in training environments that support well-being, customer service, and interpersonal skills. The position offers a unique opportunity to conduct cutting-edge, interdisciplinary research at the intersection of psychology, education, organizational behavior, and artificial intelligence. The goal is to integrate expertise in mental health, customer service, digital therapeutics, and AI to create impactful, scalable solutions for training and support in real-world settings.</p>
<p>
Robert Kraut, Haiyi Zhu, Sherry Wu, and Yi-Chia Wang in the Human-Computer Interaction Institute at CMU and Diyi Yang in the computer science department at Stanford University are available as mentors. Initial positions will be full-time in Pittsburgh, PA. CMU offers a vibrant interdisciplinary research environment across the Human-Computer Interaction Institute, Language Technologies Institute, and School of Computer Science, with extensive opportunities for collaboration, mentorship, and professional development.</p>
<p><b>
Project Overview:</b></p>
<p>
Our projects try to understand the needs for, develop deployable systems, and study the impact of AI-powered training environments designed to enhance psychosocial skills in real-world settings:</p>
<ul><li> Mental health and well-being: Collaborating with large-scale online support platforms (e.g., 7Cups), we are developing prototypes that use LLM and conversational agents to deliver scalable, experiential micro-skills training (such as empathy, active listening, and feedback) for mental health providers. Our goal is to improve access, efficacy, and personalization in mental health and support interventions.</li></ul>
<ul><li> Customer support and workplace training: Partnering with industry leaders (e.g., Teleperformance), we design simulation-based conversational training for customer service representatives and their supervisors. These environments help train staff in complex social scenarios, stress management, and de-escalation skills, using realistic virtual agents and personalized feedback.</li></ul>
<p>
The postdoctoral researcher will use a user-centered, iterative design approach, co-developing with frontline practitioners and conducting robust evaluations, such as mixed-method analyses and field trials, to assess the impact of end-to-end prototypes on skills acquisition, workplace outcomes, and client wellbeing.</p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><p><b>Required Qualifications:</b></p>
<p>
Applicants should have:</p>
<ul><li>Expertise in a relevant research field, such as health/clinical/counseling psychology, human communication research, human-computer interaction, social psychology, organizational behavior, or education.</li></ul>
<ul><li>Track record of empirical research with practitioners or end-users in relevant contexts.</li></ul>
<ul><li>Strong research record, with publications in leading conferences or journals.</li></ul>
<p>
 <b>Preferred Qualifications:</b></p>
<p>
We are especially excited about candidates who have:</p>
<ul><li>Interest in or experience with AI/NLP-powered training systems.</li></ul>
<ul><li>Practical experience in a relevant application domain, including mental health/therapy, well-being interventions, education/coaching, or customer support training.</li></ul>
<ul><li>Experience designing, implementing and evaluating technology-based training.</li></ul>
<ul><li>Experience designing and running random-assignment experiments or clinical trials</li></ul>
<ul><li>Familiarity with user-centered, participatory co-design or mixed-methods research.</li></ul>
<ul><li>Experience collaborating with platform or industry partners, or in translating research to practice.</li></ul>
<ul><li>Passion for interdisciplinary work and translational research bridging domain expertise and digital innovation.</li></ul></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p>Applicants should submit the following:</p>
<ul><li> A CV</li></ul>
<ul><li> At least two letters of reference</li></ul>
<ul><li> A 2-page research statement describing your interests and domain expertise and their fit with the aims of our AI-driven training research</li></ul>
<p>
Applications will be reviewed on a rolling basis until the position is filled.</p></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div><p></p>

POST DOCTORAL FELLOW Â€” HUMAN-CENTERED AI FOR MENTAL HEALTH AND SUPPORT SERVICES TRAINING

Handshake

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Handshake is recruiting exceptional graduates with a master&rsquo;s in Pharmacy (MPharm, PharmD, or equivalent) to join our AI research community. This program brings subject-matter experts together to enhance the capabilities of Large Language Models (LLMs) within specialized domains and subdomains. The Handshake AI Fellowship program runs year-round, though project availability will vary by domain.
 <br/>
 <br/>
 <strong>
  About Handshake AI
  <br/>
  <br/>
 </strong>
 About Handshake AI
 <br/>
 <br/>
 Details
 <br/>
 <br/>
 <ul>
  <li>
   The position is remote and asynchronous - work independently from wherever you are.
  </li>
  <li>
   Flexible hours and the ability to work remotely, with no minimum commitment to hours.
  </li>
  <li>
   Project work includes and is not limited to developing domain-specific prompts and evaluating LLM responses.
  </li>
  <li>
   Dedicate time researching topics that are interesting to you, with the assistance of AI.
  </li>
  <li>
   Learn new skills while contributing to the changing world of AI across various disciplines.
  </li>
  <li>
   Placement into a project will be dependent on project availability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must have a master's from a US institution
  </li>
  <li>
   Able to participate in primarily asynchronous work in partnership with leading AI labs.
  </li>
  <li>
   Believe your expertise can outmatch current AI systems in understanding and explaining key concepts in your field.
   <br/>
   <br/>
  </li>
 </ul>
 Selection for each project is limited to a small cohort chosen for their disciplinary and research expertise. We are seeking experts in new research areas to test the limits of the world&rsquo;s top LLMs&rsquo; scientific and language understanding by completing tasks that impact the next frontier AI model.
 <br/>
 <br/>
 Work authorization information
 <br/>
 <br/>
 F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school&rsquo;s requirements. STEM OPT is not supported. for more information on what types of work authorizations are supported on Handshake AI.
</div>


Pharmacy Expert

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