ai training - research scientist (est)

ai training experts - new york Jobs in New York

ai training experts - new york

ai training, mathematics Jobs in New York

ai training, mathematics

ai training mathematics

DataAnnotation

<div>
 We are looking for an advanced mathematician to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of mathematical reasoning. Other related fields include, but are not limited to: Applied Mathematics and/or Computer Science.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
 </li>
 <li>
 A current, in progress, or completed Master&rsquo;s or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #math
</div>

AI Training, Mathematics

Data Scientist, Analytics (Technical Leadership)

Andiamo

<div>
 Data Scientist
 
 
 
 About The Role
 
 
 
 When you work in this role, you&rsquo;ll tackle tough problems alongside other scientists and engineers&mdash;people who will challenge your ideas, share knowledge, and collaborate on impactful projects. You&rsquo;ll be doing work that matters, developing solutions to complex real-world problems using data, invention, and rigorous inquiry.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Independently research and develop hypotheses based on diverse real-world datasets.
 </li>
 <li>
 Conduct literature reviews to apply cutting-edge methodologies for extracting meaningful signals from data.
 </li>
 <li>
 Partner with engineers and stakeholders to rigorously explore and test your theories.
 </li>
 <li>
 Stay engaged in the academic community by joining reading circles and attending seminars to keep up with the latest research.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1&ndash;5+ years of experience in applied data analysis and prediction, preferably in an industry setting.
 </li>
 <li>
 Degree in a technical or quantitative discipline such as statistics, mathematics, physics, electrical engineering, or computer science.
 </li>
 <li>
 Proficiency in Python and SQL.
 </li>
 <li>
 Experience conducting in-depth research projects involving real-world data.
 </li>
 <li>
 Ability to think independently, approach analysis creatively, and communicate complex ideas clearly.
 </li>
 <li>
 Background in finance is not required&mdash;strong research skills are most important.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life and disability insurance.
 </li>
 <li>
 Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms.
 </li>
 <li>
 Learning: Tuition reimbursement, conference and training sponsorship.
 </li>
 <li>
 Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves.
 </li>
 <li>
 Hybrid Work Policy: Flexible in-office days with budget for home office setup.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The base pay for this role will be between
 
 $165,000 and $300,000
 
 . This role may also be eligible for additional forms of compensation and benefits such as discretionary bonuses, health and wellness plans, and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation will depend on skills, qualifications, and experience.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Data Scientist - Data-Driven Global Investment Firm

<div>
 
 About The Role
 
 
 
 When you work in this role, you&rsquo;ll tackle tough problems alongside other scientists and engineers&mdash;people who will challenge your ideas, share knowledge, and collaborate on impactful projects. You&rsquo;ll be doing work that matters, developing solutions to complex real-world problems using data, invention, and rigorous inquiry.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Independently research and develop hypotheses based on diverse real-world datasets.
 </li>
 <li>
 Conduct literature reviews to apply cutting-edge methodologies for extracting meaningful signals from data.
 </li>
 <li>
 Partner with engineers and stakeholders to rigorously explore and test your theories.
 </li>
 <li>
 Stay engaged in the academic community by joining reading circles and attending seminars to keep up with the latest research.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1&ndash;5+ years of experience in applied data analysis and prediction, preferably in an industry setting.
 </li>
 <li>
 Degree in a technical or quantitative discipline such as statistics, mathematics, physics, electrical engineering, or computer science.
 </li>
 <li>
 Proficiency in Python and SQL.
 </li>
 <li>
 Experience conducting in-depth research projects involving real-world data.
 </li>
 <li>
 Ability to think independently, approach analysis creatively, and communicate complex ideas clearly.
 </li>
 <li>
 Background in finance is not required&mdash;strong research skills are most important.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life and disability insurance.
 </li>
 <li>
 Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms.
 </li>
 <li>
 Learning: Tuition reimbursement, conference and training sponsorship.
 </li>
 <li>
 Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves.
 </li>
 <li>
 Hybrid Work Policy: Flexible in-office days with budget for home office setup.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The base pay for this role will be between
 
 $165,000 and $300,000
 
 . This role may also be eligible for additional forms of compensation and benefits such as discretionary bonuses, health and wellness plans, and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation will depend on skills, qualifications, and experience.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Data Scientist

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
 </li>
 <li>
 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
 </li>
 <li>
 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
 </li>
 <li>
 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
 </li>
 <li>
 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
 </li>
 <li>
 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors &amp; long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master's or Ph.D. Degree in a quantitative field
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $147,000/year to $208,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Data Scientist, Product Analytics

Prolific

<div>
 AI Training Experts
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We're looking for AI Training Experts to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay upto of $25/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
 
 
 
 What you'll bring
 
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as an AI Trainer
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations
 </li>
 <li>
 Judging the performance of AI in performing
 </li>
 <li>
 Improving cutting-edge AI models
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 
 Privacy Statement
 
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training Experts - New York

Wall Street Prep

<div>
 
 
 
 About Wall Street Prep
 
 
 
 Founded in 2004 by investment bankers, Wall Street Prep (WSP) is a leading provider of professional skills training in financial and valuation modeling. Our mission is to bridge the gap between academia and the real world by equipping finance professionals and students with practical, hands-on skills.
 
 
 We partner with top-tier investment banks, private equity and investment management firms, Fortune 500 companies, and elite undergraduate and MBA programs. Our training is delivered through engaging in-person classroom sessions and via our industry-leading online learning platform, all designed by experienced finance professionals.
 
 
 As artificial intelligence rapidly transforms financial services, WSP is expanding its AI curriculum to help finance professionals integrate modern AI tools directly into their workflows.
 
 
 
 Position Overview
 
 
 
 Wall Street Prep is seeking
 
 AI Course Builders
 
 with strong practical experience using modern AI tools and automation workflows to help develop
 
 short, practical AI courses for finance professionals.
 
 
 
 In this role, you will focus on
 
 designing hands-on AI learning content
 
 rather than delivering live instruction.
 
 
 You will work with WSP's learning team to develop
 
 high-impact modules that teach finance professionals how to apply AI tools to real business tasks
 
 , such as research, financial analysis, workflow automation, and productivity.
 
 
 This includes building course content centered around leading AI assistants and enterprise AI platforms such as
 
 ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Rogo, and Shortcut
 
 , along with Python-based workflows and API integrations.
 
 
 Your work will directly shape how professionals in investment banking, private equity, asset management, consulting, and corporate finance adopt AI in their day-to-day work.
 
 
 
 Key Responsibilities
 
 
 
 
 AI Course Development
 
 
 
 Design and build practical learning modules covering topics such as:
 
 
 <ul>
 <li>
 Foundations of generative AI and large language models
 </li>
 <li>
 Prompt engineering for business workflows
 </li>
 <li>
 AI-assisted research and knowledge synthesis
 </li>
 <li>
 AI-assisted financial analysis and modeling
 </li>
 <li>
 Workflow automation using AI tools
 </li>
 <li>
 AI productivity tools for analysts and professionals
 
 
 </li>
 </ul>
 
 Hands-On Exercise Design
 
 
 
 Develop
 
 real-world exercises and labs
 
 that teach professionals how to use AI tools in practice, including:
 
 
 <ul>
 <li>
 Using ChatGPT, Claude, Gemini, and Perplexity for research, analysis, and writing
 </li>
 <li>
 Leveraging Microsoft Copilot, Rogo, and Shortcut to automate workflows and productivity tasks
 </li>
 <li>
 Building prompt workflows for financial analysis and research
 </li>
 <li>
 Creating simple Python-based automation scripts
 </li>
 <li>
 Demonstrating AI-assisted coding and data analysis
 
 
 </li>
 </ul>
 
 Practical Use Case Development
 
 
 
 Create applied case studies that demonstrate AI in real-world business and finance contexts, such as:
 
 
 <ul>
 <li>
 Investment research and summarization
 </li>
 <li>
 Financial data analysis and visualization
 </li>
 <li>
 Competitive analysis
 </li>
 <li>
 Document review and synthesis
 </li>
 <li>
 Workflow automation and productivity tools
 
 
 </li>
 </ul>
 
 Collaboration with the Learning Team
 
 
 
 Work with WSP's instructors and learning designers to:
 
 
 <ul>
 <li>
 Translate technical AI concepts into practical business workflows
 </li>
 <li>
 Develop structured course modules and exercises
 </li>
 <li>
 Update content as AI tools rapidly evolve
 </li>
 <li>
 Ensure courses are practical, relevant, and accessible to finance professionals
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 
 Experience
 
 
 
 3+ years of experience working with AI tools, machine learning, data science, or AI-enabled workflows.
 
 
 Strong practical experience using modern AI assistants and enterprise AI tools such as:
 
 
 <ul>
 <li>
 
 ChatGPT
 
 
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Claude
 
 
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Gemini
 
 
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Microsoft Copilot
 
 
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Perplexity
 
 
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Rogo
 
 
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Shortcut
 
 
 
 </li>
 </ul>
 Experience applying AI tools to real-world workflows such as research, analysis, automation, coding, or productivity.
 
 
 Experience building technical content such as:
 
 
 <ul>
 <li>
 technical tutorials
 </li>
 <li>
 course materials
 </li>
 <li>
 developer documentation
 </li>
 <li>
 technical blog posts
 </li>
 <li>
 learning modules or workshops
 
 
 </li>
 </ul>
 Experience in finance, consulting, or corporate environments is a plus but not required.
 
 
 
 Technical Skills
 
 
 
 Practical expertise using generative AI tools including:
 
 
 <ul>
 <li>
 ChatGPT
 </li>
 <li>
 Claude
 </li>
 <li>
 Gemini
 </li>
 <li>
 Perplexity
 
 
 </li>
 </ul>
 Experience with AI productivity tools and workflow assistants such as:
 
 
 <ul>
 <li>
 Microsoft Copilot
 </li>
 <li>
 Rogo
 </li>
 <li>
 Shortcut
 
 
 </li>
 </ul>
 Python programming experience strongly preferred, including libraries such as:
 
 
 <ul>
 <li>
 Pandas
 </li>
 <li>
 NumPy
 </li>
 <li>
 Matplotlib
 </li>
 <li>
 scikit-learn
 
 
 </li>
 </ul>
 Experience working with AI APIs and frameworks such as:
 
 
 <ul>
 <li>
 OpenAI API
 </li>
 <li>
 Hugging Face
 </li>
 <li>
 LangChain
 </li>
 <li>
 similar AI tooling
 
 
 </li>
 </ul>
 
 Working Arrangement
 
 
 
 This role is
 
 project-based or part-time
 
 , focused on building course materials for upcoming AI training programs.
 
 
 The position is
 
 remote-friendly
 
 .
 
 
 Content developers will collaborate closely with WSP's learning team and instructors.
 
 
 
 Compensation
 
 
 
 Highly competitive project-based compensation depending on experience and scope of work.
 
 
 
 Why Join Wall Street Prep
 
 
 
 Help shape how AI is taught to professionals across global finance.
 
 
 Build practical AI learning content used by professionals at leading financial institutions.
 
 
 Collaborate with a highly experienced team of finance and training experts.
 
 
 Contribute to one of the fastest-growing areas of professional education.
</div>

AI Course Builder – Business & Finance Applications

Explore 158+ Ai training mathematics in New York this April. Find roles across top companies and apply now to boost your career.