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Temporary Open Ai Jobs (NOW HIRING)

Staff Electrical Engineer

Boston, MA · On-site

$150K - $220K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Joining now places you at the earliest stages of development, tackling open-ended design challenges ...

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Joining now places you at the earliest stages of development, tackling open-ended design challenges ...

Apply Early

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Joining now places you at the earliest stages of development, tackling open-ended design challenges ...

Apply Early

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Joining now places you at the earliest stages of development, tackling open-ended design challenges ...

Apply Early

Staff Electrical Engineer

Dallas, TX · On-site

$150K - $220K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Joining now places you at the earliest stages of development, tackling open-ended design challenges ...

Staff Electrical Engineer

Dallas, TX · On-site

$150K - $220K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Joining now places you at the earliest stages of development, tackling open-ended design challenges ...

Staff Electrical Engineer

San Diego, CA · On-site

$150K - $220K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Joining now places you at the earliest stages of development, tackling open-ended design challenges ...

Follow Shield AI on LinkedIn, X, Instagram, and YouTube. As a Senior Staff Systems Engineer on ... Familiarity with modular open system architectures (MOSA) and Government Reference Architectures ...

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Temporary Open Ai information

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How much do temporary open ai jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for temporary open ai in the United States is $18.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

Does OpenAI have entry-level jobs?

OpenAI offers entry-level positions in areas such as research, engineering, and support roles, often requiring basic skills in programming, machine learning, or related fields. These roles typically provide on-the-job training and may require a relevant degree or internship experience. Candidates should review OpenAI's careers page for current openings and specific requirements.

What is the easiest AI job to get?

Entry-level AI roles such as data annotation, labeling, or basic machine learning support are generally the easiest AI jobs to obtain. These positions often require minimal experience, basic understanding of AI concepts, and familiarity with tools like Python or data management platforms.

What are the key skills and qualifications needed to thrive as a Temporary OpenAI Engineer, and why are they important?

To thrive as a Temporary OpenAI Engineer, you need a strong background in computer science, machine learning, and programming, typically supported by a relevant degree and experience with AI development. Familiarity with tools like Python, TensorFlow or PyTorch, and cloud platforms is commonly required, along with knowledge of version control systems like Git. Strong problem-solving skills, adaptability, and effective communication help you excel in a fast-paced, collaborative R&D environment. These skills ensure you can contribute to innovative AI projects, adapt to evolving technologies, and work efficiently within dynamic teams.

What is the difference between Temporary Open Ai vs Data Analyst?

AspectTemporary Open AiData Analyst
Required CredentialsOften no formal degree required; familiarity with AI toolsBachelor's degree in data science, statistics, or related field
Work EnvironmentProject-based, flexible, often remoteOffice or remote, structured work hours
Employer & Industry UsageTech companies, startups, AI-focused projectsBusiness, finance, healthcare, and various industries
Common Search & ComparisonTemporary Open Ai vs Data AnalystSimilar roles in data-driven industries

Temporary Open Ai roles focus on short-term AI project support, requiring familiarity with AI tools and flexible work settings. Data Analysts analyze data to inform business decisions, often with formal education. While both roles involve data, Temporary Open Ai is more specialized in AI applications, whereas Data Analysts have broader data analysis responsibilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and expertise in AI tools and frameworks, and they are found in large tech companies or specialized AI firms.

What are Temporary Open AI jobs?

Temporary Open AI jobs are short-term positions offered by OpenAI or related organizations to support specific projects, research initiatives, or operational needs. These roles may include research assistants, software engineers, data annotators, or project managers, and typically last for a defined period, such as a few months. Temporary positions provide opportunities to work with cutting-edge artificial intelligence technologies and gain valuable experience, often with the possibility of transitioning to a permanent role. Candidates are usually expected to have relevant technical or research skills, and the work environment is fast-paced and collaborative.

What are some common challenges when working in a temporary AI role, and how can I prepare for them?

In a temporary AI position, one common challenge is quickly adapting to existing projects and workflows, as you'll often be expected to contribute immediately with minimal onboarding. You may also face tight deadlines and the need to rapidly learn new tools or data sets specific to the company. To prepare, familiarize yourself with common AI frameworks, maintain strong communication with team members, and be proactive in seeking clarification on project requirements. Flexibility and a willingness to learn are key to thriving in this fast-paced, dynamic environment.

How hard is it to get a job at OpenAI?

Getting a job at OpenAI, especially for roles like research scientist or engineer, typically requires a strong background in AI, machine learning, or related fields, along with relevant experience and skills. The application process is competitive and involves multiple interview stages assessing technical expertise and problem-solving abilities.
What cities are hiring for Temporary Open Ai jobs? Cities with the most Temporary Open Ai job openings:
What are the most commonly searched types of Open Ai jobs? The most popular types of Open Ai jobs are:
What states have the most Temporary Open Ai jobs? States with the most job openings for Temporary Open Ai jobs include:
What job categories do people searching Temporary Open Ai jobs look for? The top searched job categories for Temporary Open Ai jobs are:
AI Foundational Model Engineer

AI Foundational Model Engineer

NTT DATA Services

Jersey City, NJ • On-site

Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

109th of 207 rated it services


Job description

Req ID: 379364 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Foundational Model Engineer to join our team in Jersey City, New Jersey (US-NJ), United States (US).

Role purpose

Design, build, deploy, and optimize enterprise-grade AI systems powered by foundation models, LLMs, retrieval-augmented generation, and agentic AI workflows. The role converts AI concepts into secure, scalable, observable, and supportable production systems suitable for a regulated financial-services environment.

Primary ownership

  • Production LLM applications, RAG pipelines, AI services, and model-serving integrations.
  • End-to-end LLMOps/MLOps lifecycle from experimentation to deployment, monitoring, evaluation, rollback, and continuous improvement.
  • Model adaptation, inference optimization, APIs, observability, and operational readiness for GenAI solutions.

Key responsibilities

  • Design and implement LLM-powered applications such as knowledge assistants, document intelligence solutions, workflow agents, summarization tools, and decision-support systems.
  • Build RAG pipelines using embeddings, chunking strategies, vector databases, semantic retrieval, reranking, response grounding, and citation patterns.
  • Adapt and optimize models using LoRA, PEFT, instruction tuning, distillation, transfer learning, quantization, and domain adaptation techniques.
  • Develop scalable APIs, microservices, model-serving components, and integration patterns across cloud, hybrid, or containerized environments.
  • Optimize inference workloads for latency, throughput, token efficiency, cost, reliability, and user experience.
  • Implement model and application observability, including prompt logs, retrieval quality, hallucination indicators, drift signals, feedback loops, cost telemetry, and service health.
  • Embed security, privacy, Responsible AI, and model risk controls into AI application design and delivery.
  • Create production documentation, runbooks, release notes, test evidence, and audit-ready implementation records.

Must-have candidate profile

  • 7+ years in AI/ML engineering, platform engineering, software engineering, or applied machine learning.
  • Hands-on experience with LLMs, transformers, embeddings, RAG, semantic search, and GenAI application patterns.
  • Strong Python engineering skills with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
  • Experience deploying production AI services using APIs, containers, Kubernetes, CI/CD, cloud-native services, and monitoring platforms.
  • Practical knowledge of model evaluation, fine-tuning, inference optimization, and secure data handling.

Preferred experience

  • Banking, risk, compliance, financial crime, operations, or enterprise technology background.
  • Experience with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks, vLLM, Triton, MLflow, Kubeflow, or model gateways.
  • Exposure to model risk, AI governance, audit controls, AI cost governance, and private or open-source LLM deployments.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the nature of the role offered and will either be [$139,872 - $209,808], or [$80-$100] if the role is hired as a temporary position. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967