Cloud platforms (Azure ML, Azure OpenAI, Databricks). * Knowledge graphs, hybrid search/RAG, and ... and part-time work. * Comprehensive medical, dental, and vision plans. * Culture of Health:
Cloud platforms (Azure ML, Azure OpenAI, Databricks). * Knowledge graphs, hybrid search/RAG, and ... and part-time work. * Comprehensive medical, dental, and vision plans. * Culture of Health:
Senior Analytics Engineer
New York, NY · On-site
$130 - $185K/hr
... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Experience using LLM tools such as Claude Code, Cursor, or OpenAI Codex * Strong cross-functional ...
Senior Analytics Engineer
New York, NY · On-site
$130 - $185K/hr
... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Experience using LLM tools such as Claude Code, Cursor, or OpenAI Codex * Strong cross-functional ...
Experience with LLM platforms and APIs, such as OpenAI, Anthropic, Azure Open AI, or AWS Bedrock ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Experience with LLM platforms and APIs, such as OpenAI, Anthropic, Azure Open AI, or AWS Bedrock ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cloud platforms (Azure ML, Azure OpenAI, Databricks). * Knowledge graphs, hybrid search/RAG, and ... and part-time work. * Comprehensive medical, dental, and vision plans. * Culture of Health:
Cloud platforms (Azure ML, Azure OpenAI, Databricks). * Knowledge graphs, hybrid search/RAG, and ... and part-time work. * Comprehensive medical, dental, and vision plans. * Culture of Health:
Part Time Openai information
How can I make 2000 a week working from home?
To make $2000 a week working from home, individuals often combine multiple part-time jobs, freelance work, or online services such as content creation, tutoring, or virtual assistance. Success depends on skills, experience, and the ability to manage a flexible schedule, with high-demand roles typically requiring specialized knowledge or certifications.
Is it hard to get hired at OpenAI?
Getting hired at OpenAI for a part-time role can be competitive, as the organization seeks candidates with strong technical skills, relevant experience, and a good understanding of AI and machine learning. The application process typically involves multiple interview stages, including technical assessments and behavioral interviews, and may require a background in computer science or related fields. Success depends on your qualifications and how well you demonstrate your ability to contribute to OpenAI's projects.
What are the key skills and qualifications needed to thrive as a Part-Time AI Research Assistant at OpenAI, and why are they important?
To thrive as a Part-Time AI Research Assistant at OpenAI, a strong background in computer science, machine learning, and data analysis is generally required, often supported by relevant coursework or a degree. Familiarity with Python, TensorFlow or PyTorch, and version control systems like Git is essential for technical tasks. Strong problem-solving skills, communication, and the ability to work independently are valuable soft skills in this role. These competencies enable effective support of research projects, contribute to innovative developments, and ensure efficient collaboration within the team.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-paying position in artificial intelligence, often involving senior roles such as AI research directors, machine learning executives, or specialized consultants. These roles usually require advanced skills in AI, deep learning, and data science, along with significant experience and sometimes advanced degrees. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI projects within organizations.
What are Part Time OpenAI jobs?
Part Time OpenAI jobs are positions at OpenAI that allow employees to work fewer hours than a standard full-time schedule, typically ranging from 10 to 30 hours per week. These roles may be available in various departments such as research, engineering, customer support, or operations, and can offer flexible scheduling to accommodate other commitments. Part-time employees at OpenAI may be able to contribute to projects involving advanced artificial intelligence and machine learning, while also balancing other professional or personal responsibilities.
How does working part-time at OpenAI typically impact collaboration and communication with full-time teams?
Part-time roles at OpenAI are structured to ensure effective integration with full-time teams, often leveraging flexible schedules and digital collaboration tools. While you may need to coordinate your hours to overlap with key meetings or project milestones, OpenAI provides strong support for remote and asynchronous work. Clear communication and proactive participation are encouraged, so establishing regular check-ins with your team can help you stay aligned and contribute meaningfully. This collaborative environment allows part-time employees to have a real impact while maintaining a flexible work-life balance.
Does OpenAI allow work from home?
OpenAI offers some remote work opportunities, including for roles like research and engineering positions, depending on the specific job and team. Many open positions are flexible and support work-from-home arrangements, especially for technical roles that can be performed remotely with the necessary skills and tools. Candidates should review individual job postings for specific remote work policies.
What cities are hiring for Part Time Openai jobs? Cities with the most Part Time Openai job openings:
What are the most commonly searched types of Openai jobs? The most popular types of Openai jobs are:
What states have the most Part Time Openai jobs? States with the most job openings for Part Time Openai jobs include:
What job categories do people searching Part Time Openai jobs look for? The top searched job categories for Part Time Openai jobs are:
Part-time
Medical, Dental, Vision, Life, Retirement
Re-posted 17 days ago
ExxonMobil rating
6.0
Based on 225 frontline employees who took The Breakroom Quiz
53rd of 74 rated oil and gas companies
Job description
About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we canwork together.
What you will do
Lead the design, development, and deployment of advanced AI/ML solutions for commercial analytics including pricing, marketing, supply chain and trading. You will work end-to-end from problem framing and experimentation through production and sustainment while partnering with business stakeholders to deliver scalable, reliable, and impactful solutions.
What role you will play in the team
About you
Desired Skills
Preferred Knowledge/Skills
Educational Background Recommended
Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
We offer you:
More information on our Company's benefits can be found at www.exxonmobilfamily.com.
Please note benefits may be changed from time to time without notice, subject to applicable law.
Stay connected with us
Learn more at our website
Follow us on LinkedIN and Instagram
Like us on Facebook
Subscribe our channel at YouTube
Alternate Location:
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we canwork together.
What you will do
Lead the design, development, and deployment of advanced AI/ML solutions for commercial analytics including pricing, marketing, supply chain and trading. You will work end-to-end from problem framing and experimentation through production and sustainment while partnering with business stakeholders to deliver scalable, reliable, and impactful solutions.
What role you will play in the team
- Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring.
- Collaborate with cross-functional teams to translate business problems into mathematical frameworks.
- Build solutions in one or more domains listed above, applying best practices for data quality, explainability, and governance.
- Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or commercial analytics models.
- Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
- Mentor peers and contribute to internal AI capability building.
About you
Desired Skills
- 5+ years of direct experience delivering production AI/ML solutions.
- Expertise in commercial analytics for pricing, marketing, supply chain management or oil & gas trading.
- Strong foundations in statistics, probability, and algorithm design.
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks/Spark.
- Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries.
- Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME).
- Excellent communication and collaboration skills.
Preferred Knowledge/Skills
- Cloud platforms (Azure ML, Azure OpenAI, Databricks).
- Knowledge graphs, hybrid search/RAG, and semantic technologies.
- Agile development and software engineering best practices.
Educational Background Recommended
- Master's or PhD in Data Science, Computer Science, Engineering, Applied Math, or related field.
Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
We offer you:
- Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
- Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
- Workplace Flexibility: We have several programs such as "Flex your Day", providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
- Comprehensive medical, dental, and vision plans.
- Culture of Health: Programs and resources to support your wellbeing.
- Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
- Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.
More information on our Company's benefits can be found at www.exxonmobilfamily.com.
Please note benefits may be changed from time to time without notice, subject to applicable law.
Stay connected with us
Learn more at our website
Follow us on LinkedIN and Instagram
Like us on Facebook
Subscribe our channel at YouTube
Alternate Location:
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
What ExxonMobil employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About ExxonMobil
Sourced by ZipRecruiter
Company size
10,000+ Employees
Headquarters location
Irving, TX, US
Year founded
1870