artificial intelligence specialist

International Swaps and Derivatives Association

<div><div>June 30, 2026
Job Title: Assistant Director, Artificial Intelligence
Reports to: Senior Director, Digital Transformation, Analytics
Location: New York
Salary Range: $120,000 - $130,000
</div><div>Job purpose 
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab. 


Duties and responsibilities
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market.</li></ul> 


Relevant Skills / Abilities
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div>

Assistant Director, Artificial Intelligence, NY

Power To Fly

Job Overview At Power To Fly, we are dedicated to fostering diversity and inclusion in the workforce, with a special focus on advancing the careers of women and underrepresented groups in technology. Our organisation partners with leading companies to help them build more inclusive and effective teams. We are currently seeking a meticulous and highly motivated Contract Annotation Specialist to join our team. This is a Full-Time contract position based in New York, New York, United States. The ideal candidate will possess an exceptional eye for detail and a passion for data quality. This role is crucial for supporting our partners' innovative projects by providing high-quality, accurately labelled data that powers machine learning and artificial intelligence systems. Responsibilities * Accurately and consistently annotate various data types (such as text, images, and audio) according to detailed project guidelines. * Perform rigorous quality assurance checks on annotated data to ensure it meets and exceeds strict quality standards. * Provide constructive feedback to the project team on annotation tools, guidelines, and processes to drive continuous improvement. * Collaborate effectively with team members to resolve ambiguities and maintain a consistent approach to annotation tasks. * Manage your workload efficiently to meet project deadlines and performance targets. * Adhere to all data confidentiality and security protocols to ensure the integrity of sensitive information. Qualifications * Proven experience in a data annotation, data labelling, or a similar quality control role. * Exceptional attention to detail and a demonstrable commitment to producing high-quality work. * Excellent written and verbal communication skills. * The ability to work independently, manage time effectively, and adapt to evolving project requirements. * Strong technical aptitude and the ability to learn new software and tools quickly. * A proactive and collaborative approach to problem-solving. * Familiarity with the principles of machine learning or AI is advantageous but not essential. Benefits * A competitive contract rate of $75 - $100 USD per hour, commensurate with experience. * The opportunity to be part of a mission-driven organisation dedicated to creating a more diverse and inclusive technology industry. * Engage in meaningful work that contributes to cutting-edge projects for our esteemed partners.

Job Overview Power To Fly is a mission-driven company dedicated to advancing diversity and inclusion in the workforce, with a particular focus on empowering women and underrepresented groups in technology. We partner with organisations that are committed to fostering inclusive work environments and improving their hiring practices. We are currently seeking a diligent and organised individual to join our team as a Clerical Assistant (Remote). This is a full-time, fully remote position based in the United States. The successful candidate will provide essential administrative and clerical support, ensuring the smooth and efficient operation of our daily activities. This role is ideal for a proactive individual with exceptional attention to detail and a passion for supporting a dynamic, mission-focused team. Job Title: Clerical Assistant (Remote) Location: Fully Remote (United States) Employment Type: Full-time Salary: $28 - $38 USD per hour Responsibilities * Manage and maintain schedules, appointments, and calendars for team members. * Handle incoming and outgoing communications, including emails and phone calls, in a professional manner. * Prepare, format, and edit a variety of documents, such as reports, correspondence, and presentations. * Perform accurate data entry and maintain organised digital filing systems and databases. * Assist in the coordination of virtual meetings, including preparing agendas, distributing materials, and taking minutes. * Provide general administrative support to ensure the team can focus on strategic objectives. * Uphold a strict level of confidentiality in all work-related matters. Qualifications * Proven experience in a clerical, administrative, or office support role. * Excellent written and verbal communication skills with a high degree of professionalism. * Strong organisational and time-management skills, with the ability to prioritise tasks effectively. * High proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) and familiarity with virtual collaboration tools. * Exceptional attention to detail and a commitment to producing accurate work. * The ability to work independently and proactively in a remote setting. * A genuine interest in and alignment with Power To Fly's mission of promoting diversity and inclusion. Benefits At Power To Fly, we value our employees and are proud to offer a supportive and engaging work environment. Our benefits package includes: * A competitive hourly wage. * A flexible remote work arrangement that promotes a healthy work-life balance. * Opportunities for professional development and career growth. * The chance to be part of a purpose-driven company making a tangible impact on the industry.

Clerical Assistant (remote)

Contract Annotation Specialist

Sony

<div>Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony&rsquo;s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony&rsquo;s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/
<div><div>Position Summary
</div><div>Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide. 
</div><div>Responsibilities
</div><div>As a research intern, you will investigate and apply novel algorithms related to:
</div><div>The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
</div><div>The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.
</div><div>Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts. 
</div><div>Required Qualifications
</div><div><ul><li>Master&rsquo;s degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
</li></ul></div><div><ul><li>Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
</li></ul></div><div><ul><li>Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
</li></ul></div><div><ul><li>Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
</li></ul></div><div><ul><li>Excellent communication and presentation skills. 
</li></ul></div><div>Preferred Qualifications
</div><div><ul><li>Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. 
</li></ul></div></div><div>Working Location
</div><div>Location flexible (Tokyo, NYC, remote)
<div>The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .
#LI-AS1
</div></div>All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.
We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.
Right to Work (English/Spanish)
E-Verify Participation (English/Spanish)</div>

Research Intern on Generative and Protective AI for Content Creation

American Express

<div>Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Technology organization enables and accelerates the company&rsquo;s growth strategies, delivering global capabilities and services in support of Amex&rsquo;s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
American Express Technologies is seeking an Engineer with advanced skills in Generative AI and Data Engineering to join our Production Management tooling team. Our mission is to transform how critical platforms are supported by embedding AI-first solutions into event management and system reliability. We are looking for highly motivated, creative problem solvers who are excited to design and implement innovative AI tools that address complex business challenges at scale.</div>
 <div><ul><li>Demonstrated passion for Generative AI and its application to real-world business problems.
</li><li>Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures.
</li><li>Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production applications.
</li><li>Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases.
</li><li>Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
</li><li>Proficiency in deploying AI-enabled applications using cloud platforms and containerized environments (Kubernetes, Docker, OpenShift).
</li></ul>Preferred Qualifications
<ul><li>Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows.
</li><li>Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods.
</li><li>Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK.
</li><li>Familiarity with APIs, microservices, and web technologies (React, NodeJS, SQL) to deliver end-to-end solutions.
</li><li>3&ndash;5 years of relevant work experience with a Bachelor&rsquo;s degree in Computer Science, Data Science, or related field.
</li><li>Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</li></ul></div>
 <div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</div>
 <div>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
<div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. 
</div><div></div> 
<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. 
</div><div></div> 
<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.</div></div><div></div>

AI Engineer II

The New York Times

<div><div><div><div><div><div>The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.
</div>
</div></div></div></div>About the Role, Mission or Department Overview

The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products &amp; Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations. 


You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role. 


Responsibilities:
<ul>
<li>You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.
</li>
<li>You will fine-tune and evaluate language models for custom use cases and content enrichment.
</li>
<li>You will contribute to shared practices around evaluation, responsible A.I. use, and what &quot;good&quot; is inside an organization where judgment and independence are important
</li>
<li>You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs
</li>
<li>You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches
</li>
<li>You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups
</li>
<li>Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.</li></ul> 

Basic Qualifications:
<ul>
<li>PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline
</li>
<li>2+ years experience with open source machine learning or statistical analysis tools
</li>
<li>2+ years coding experience in Python
</li>
<li>2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis
</li>
<li>1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow</li></ul> 

Preferred Qualifications:
<ul>
<li>1+ years of experience with information retrieval or search systems
</li>
<li>1+ years of experience translating ambiguous business questions into machine learning problems
</li>
<li>1+ years of experience building data products, either internal or consumer-facing
</li>
</ul>REQ-020337<div> 
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.

We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.

If you're an Engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.

The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here.

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable &quot;Fair Chance&quot; laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For information about The New York Times' privacy practices for job applicants click here.

Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.

If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.</div></div>

Machine Learning Scientist, New AI Products and Platforms

OpenAI

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world&rsquo;s most exceptional talent under one roof to push the boundaries of what&rsquo;s possible.
 
 
 Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization&mdash;working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI&rsquo;s talent.
 
 
 
 About The Role
 
 
 
 You&rsquo;ll focus on identifying and engaging world‑class AI researchers and scientists who are advancing the frontier of machine learning and artificial intelligence. In this role, you will drive top‑of‑funnel sourcing efforts, build thoughtful outreach strategies, and cultivate long‑term relationships with highly specialized talent across academia and industry to support our Research teams&rsquo; hiring ambitions.
 
 
 You&rsquo;ll work across a range of deeply technical and research‑oriented roles, mapping emerging fields, identifying leading contributors, and proactively engaging experts in their respective domains. You&rsquo;ll partner closely with recruiters, hiring managers, and research leaders to surface exceptional candidates, generate strong pipelines for niche searches, and continuously refine sourcing strategies to help our research teams grow and scale.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Build highly targeted searches that deliver candidate profiles with precision.
 </li>
 <li>
 Craft thoughtful approaches to candidate outreach that will engage even the most passive talent and cultivate relationships with high priority targets over the long-term.
 </li>
 <li>
 Develop and utilize creative strategies to discover non-traditional, research-adjacent, and/or up and coming talent.
 </li>
 <li>
 Partner closely with hiring managers across OpenAI to develop customized sourcing strategies and advise them on the market.
 </li>
 <li>
 Take a highly organized and data driven approach to candidate tracking and funnel metrics.
 </li>
 <li>
 Represent OpenAI and engage with candidates at conferences and events.
 
 
 </li>
 </ul>
 
 We&rsquo;re Seeking
 
 
 
 <ul>
 <li>
 Significant experience sourcing specialized Engineering and/or AI talent across a range of highly technical domains.
 </li>
 <li>
 Deep interest in AI research and a desire to engage directly with global research communities.
 </li>
 <li>
 Demonstrable success in sourcing and hiring top technical talent at a premier tech company and/or high-growth startup
 </li>
 <li>
 Ability to drive multiple complex searches in parallel while maintaining a high quality bar and exceptional stakeholder + candidate experience.
 </li>
 <li>
 A passion for the research and mapping components of sourcing; it&rsquo;s a long game.
 
 
 </li>
 </ul>
 
 Workplace &amp; Location
 
 
 
 This role can be based in our San Francisco, New York, or Seattle offices or remotely in the US. When applying, let us know which location(s) work for you. If you&rsquo;re joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays.
 
 
 Our offices are set up for focus and connection&mdash;with height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.
 
 
 
 About OpenAI
 
 
 
 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.
 
 
 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.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 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.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 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.
 
 
 Compensation Range: $136.8K - $240K
 
 
</div>

Technical Sourcer, Research

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 ML Engineer (Coding Agent Experience)
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $85/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
 </li>
 <li>
 Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
 </li>
 <li>
 Identify bugs, edge cases, performance issues, and failure modes in AI models.
 </li>
 <li>
 Compare outputs from multiple frontier models and assess their strengths and weaknesses.
 </li>
 <li>
 Apply professional engineering judgment to realistic ML engineering scenarios.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of professional machine learning engineering experience.
 </li>
 <li>
 Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
 </li>
 <li>
 Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
 </li>
 <li>
 Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
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 Experience deploying ML systems to production.
 
 
 
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 </ul>
 
 Compensation &amp; Legal
 
 
 
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 $400 per accepted task
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 Compensation is tied to accepted work.
 
 
 
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 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
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 Upload resume
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 AI interview based on your resume
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 Submit form
 
 
 
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 Resources &amp; Support
 
 
 
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 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
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 For any help or support, reach out to: support@mercor.com
 
 
 
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 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
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AI/ML Engineer - Fully Remote | Upto $85/hr

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