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Ai Companies In Jobs (NOW HIRING)

Distyl AI

Applied AI Researcher, Post-Training

New York, NY · On-site

$150K - $250K/yr

Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native ...

F5, Inc.

Director, Strategic AI Cloud Sales

Seattle, WA · On-site

$165K - $248K/yr

We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies ... Bachelor's degree in Computer Science, Engineering, Business, or related field, or equivalent ...

Luminance

Account Executive

San Francisco, CA · On-site

$90K/yr

Backed by internationally renowned VCs and named in both the Forbes AI 50 list of 'Most Promising Private AI Companies in the World' and Inc. 5000's 'Fastest Growing Companies in America', Luminance ...

C10 Labs

$100 - $150/hr

About C10 Labs C10 Labs is an AI-focused venture studio and early-stage fund dedicated to building and backing the next generation of applied AI companies. Based in Cambridge, MA, C10 Labs partners ...

C10 Labs

Enterprise AI Venture Fellow

Cambridge, MA · On-site

$100 - $150/hr

This role is designed for entrepreneurial and technically strong individuals interested in helping build the next generation of AI-first enterprise software companies. You will work closely with ...

Stripe

Account Executive, AI Sales

San Francisco, CA · On-site

We're in a unique position - partnering with the world's most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across ...

Luminance

Legal Implementation Specialist

New York, NY · On-site

$75K/yr

Backed by internationally renowned VCs and named in both the Forbes AI 50 list of 'Most Promising Private AI Companies in the World' and Inc. 5000's 'Fastest Growing Companies in America', Luminance ...

Mercor

Software Engineer, Backend

San Francisco, CA · On-site

$130K - $500K/yr

... AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San ...

Stripe

Account Executive, AI Sales

San Francisco, CA · On-site

We're in a unique position - partnering with the world's most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across ...

Stripe

Account Executive, AI Sales

San Francisco, CA · On-site

We're in a unique position - partnering with the world's most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc.) building on the frontier of artificial intelligence-across ...

Luminance

Legal Implementation Specialist

New York, NY · On-site

$75K/yr

Backed by internationally renowned VCs and named in both the Forbes AI 50 list of 'Most Promising Private AI Companies in the World' and Inc. 5000's 'Fastest Growing Companies in America', Luminance ...

Luminance

Subject Matter Expert

New York, NY · On-site

$150K - $250K/yr

Backed by internationally renowned VCs and named in both the Forbes AI 50 list of 'Most Promising Private AI Companies in the World' and Inc. 5000's 'Fastest Growing Companies in America', Luminance ...

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How much do ai companies in jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for ai companies in in the United States is $53.14, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $66.59 per hour, depending on experience, location, and employer.

What are AI companies?

AI companies are businesses that develop, implement, or utilize artificial intelligence technologies to solve problems, automate processes, or provide innovative products and services. These companies work across various sectors, including healthcare, finance, transportation, and more, leveraging machine learning, natural language processing, computer vision, and other AI techniques. Some well-known AI companies include OpenAI, Google DeepMind, IBM Watson, and Microsoft AI. They play a significant role in advancing the field of artificial intelligence and shaping the future of technology.

What is the difference between Ai Companies In vs Data Scientists?

AspectAi Companies InData Scientists
Required CredentialsTypically degrees in computer science, AI, or related fields; experience with machine learning frameworksDegrees in statistics, computer science, or related fields; proficiency in programming and data analysis
Work EnvironmentTech companies, startups, research labs focusing on AI developmentVarious industries including tech, finance, healthcare; analyzing data to inform decisions
Employer & Industry UsagePrimarily in AI-focused companies developing intelligent systemsAcross multiple sectors applying data analysis and modeling

Ai Companies In and Data Scientists often share similar educational backgrounds and work environments. However, Ai Companies In focus on developing AI products and solutions, while Data Scientists analyze data to support business decisions. Both roles are vital in tech-driven industries but serve different functions within the AI ecosystem.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming (particularly Python), often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data analysis tools, and sometimes cloud platforms or certifications is typically required. Critical thinking, problem-solving, and strong communication skills set outstanding AI Engineers apart. These skills are crucial for designing, implementing, and collaborating on innovative AI solutions that drive business value.

What are some challenges professionals may face when working at AI companies in India, and how can they overcome them?

Professionals in AI companies in India often encounter challenges such as rapidly evolving technology, the need for continuous upskilling, and working in cross-functional teams with diverse backgrounds. Additionally, balancing research-oriented tasks with real-world implementation can be demanding. To succeed, candidates should embrace lifelong learning, actively participate in team discussions, and seek mentorship from experienced colleagues to stay updated and effective in their roles.
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Ai Companies In jobs near you
Infographic showing various Ai Companies In job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Temporary. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $110,528 per year, or $53.1 per hour.

Applied AI Researcher, Post-Training

Distyl AI

New York, NY • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago

Job description

About Distyl AI
Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
What We Are Looking For
At Distyl we're pushing the envelope of AI utilization in enterprise. This requires creative researchers who don't just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
Key Responsibilities
  • The Post-Training team focuses on adapting foundation models to real-world performance and alignment requirements. Researchers develop and evaluate techniques such as supervised fine-tuning, preference optimization (DPO, RLHF, RLAIF), and continual adaptation to align models with Distyl's enterprise systems. The goal is to bridge raw model capability with trustworthy, contextually aligned system behavior
  • Researchers in Post-Training investigate new methods for aligning large models with human and system-level objectives. They explore trade-offs between generalization and specialization, data efficiency and robustness, capability and controllability. Their work informs how Distyl leverages foundation models safely, effectively, and at scale across industries
What We Require
  • Deep Understanding of Post-training Techniques: Familiarity with supervised fine-tuning, preference optimization (RLHF/DPO), LoRA/PEFT, and instruction-tuning pipelines.
  • Experience Adapting Frontier Models: You've tuned or adapted LLMs/SLMs to specialized domains or behaviors through data curation, reward modeling, or continual pretraining.
  • Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
  • Proven Track Record of Research Results: Whether you've published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
  • Uses AI Every Day: Before you can revolutionize someone else's workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
  • Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
  • Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.
What We Offer
  • The base salary range for this role is $150K - $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
  • 100% covered medical, dental, and vision for employees and dependents
  • 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
  • Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
  • Ownership of high‑impact projects across top enterprises
  • A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence

Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday-Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

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