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Top Ai Jobs (NOW HIRING)

Clera

Founding Engineer (Applied AI)

San Francisco, CA · On-site

$120K - $180K/yr

Background from high-caliber AI/ML or autonomy teams (e.g., self-driving, robotics, research labs, or top AI companies) is a strong signal. * Bonus: construction industry background, or experience ...

Sieve

Product & Ops Lead

San Francisco, CA · On-site

The Product & Ops Lead will manage relationships with top AI lab customers, drive revenue expansion, and translate customer needs into internal priorities, requiring both technical fluency and strong ...

Turing

Remote Mathematics Specialist

Seattle, WA · Remote

$100 - $200/hr

Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ...

Turing

Remote Chemistry Specialist (PhD)

Los Angeles, CA · Remote

$50/hr

Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required Role Overview: Help fine-tune large language models ...

Turing

Remote Chemistry Specialist

Seattle, WA · Remote

$100 - $200/hr

Work on cutting-edge projects with top AI labs while earning up to $100+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models ...

Turing

Remote Chemistry Specialist

San Francisco, CA · Remote

$100 - $200/hr

Work on cutting-edge projects with top AI labs while earning up to $100+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models ...

Turing

Remote Biology Specialist

San Francisco, CA · Remote

$100 - $200/hr

Work on cutting-edge projects with top AI labs while earning up to $100+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models ...

Turing

Remote Biology Specialist

Manhattan, NY · Remote

$100 - $200/hr

Work on cutting-edge projects with top AI labs while earning up to $100+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models ...

Azumo

Data Scientist, Applied AI - Remote

Our talented AI developers are trusted to deliver Top AI Development services in Generative AI , intelligent automation, and custom machine learning solutions. At Azumo , we believe in professional ...

Turing

Remote Mathematics Specialist

San Francisco, CA · Remote

$100 - $200/hr

Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ...

Highlight AI

Head of AI

San Francisco, CA · On-site

$250K - $350K/yr

Experience working at top AI labs (e.g. DeepMind, OpenAI, Anthropic, Meta FAIR, xAI) or leading AI application companies (e.g. Google, Cursor, Perplexity) * Strong architectural chops: you've ...

Clera

Founding Engineer (Applied AI)

San Francisco, CA · On-site

$120K - $180K/yr

Background from high-caliber AI/ML or autonomy teams (e.g., self-driving, robotics, research labs, or top AI companies) is a strong signal. * Bonus: construction industry background, or experience ...

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What is a top AI professional?

Top AI professionals are experts in the field of artificial intelligence who demonstrate advanced knowledge and skills in developing, implementing, and optimizing AI systems. They often lead research, design algorithms, and work on machine learning, deep learning, and data analysis projects across various industries. These individuals typically have strong backgrounds in computer science, mathematics, and statistics, and are recognized for their contributions through publications, leadership roles, or innovative AI solutions.

What are the key skills and qualifications needed to thrive as an AI specialist?

To thrive as an AI Specialist, you need strong programming skills (such as Python or R), a solid foundation in mathematics and statistics, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and relevant certifications (such as AWS Certified Machine Learning) is highly valuable. Analytical thinking, problem-solving ability, and effective communication set top performers apart in this role. These skills are crucial for developing, deploying, and explaining AI solutions that drive innovation and business value.

What are some common challenges faced by AI specialists working on cutting-edge projects?

AI specialists working on advanced projects often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and addressing ethical considerations like bias and transparency. Collaboration with cross-functional teams—including data engineers, product managers, and domain experts—is essential for aligning technical solutions with business goals. Additionally, staying current with rapid advancements in AI research and tools is crucial for success in this dynamic field.

What are the top AI jobs right now?

The top AI jobs currently include roles such as AI Engineer, Machine Learning Engineer, Data Scientist, and Deep Learning Specialist. These positions typically require skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and a strong understanding of algorithms and data analysis. Demand is high across industries like tech, healthcare, finance, and automotive, often requiring a relevant degree and certifications in AI or data science.
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Infographic showing various Top Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 19% Part Time, and 8% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Director, AI Research

Advanced Micro Devices, Inc

Santa Clara, CA • On-site

$215K/yr

Full-time

Re-posted yesterday

Key responsibilities

  • Define and own a coherent AI research agenda spanning reinforcement learning, model training and optimization, and AI-for-systems.

  • Build, lead, and mentor a team of AI researchers and research engineers, setting research direction and standards for technical excellence.

  • Ensure research translates into impact by influencing hardware and software roadmaps, improving model performance on AMD platforms, and strengthening external partnerships.

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE :
AMD is looking for a Director of AI Research to set and lead a research agenda at the intersection of frontier AI and AMD silicon. This is a senior leadership role for a researcher who can see across the full picture-reinforcement learning and model training, AI-for-systems, and the hardware and software that make large models fast-and turn that breadth into a focused, high-impact program.
THE PERSON:
You will build and lead a team of AI researchers and research engineers, set technical direction across multiple workstreams, and partner across AMD and with external collaborators to ensure research translates into real advantage-for AMD's products, its hardware roadmap, and the models that run on AMD platforms. The ideal candidate is a recognized technical leader with deep research credibility who can still go hands-on when it counts, and who knows how to turn open-ended research into measurable outcomes. We are open to candidates who want to remain hands-on as player-coaches as well as those who lead primarily through their teams.
KEY RESPONSIBILITIES:
  • Define and own a coherent AI research agenda spanning reinforcement learning, model training and optimization, and AI-for-systems, aligned to AMD's strategic priorities
  • Build, lead, and mentor a high-caliber team of AI researchers and research engineers; set research direction, hiring bar, and standards for technical excellence
  • Prioritize across competing research opportunities and focus the team on the work with the highest leverage for AMD
  • Ensure research translates into impact-influencing the hardware and software roadmap, improving model performance on AMD platforms, and strengthening external partnerships
  • Partner deeply across silicon, architecture, compiler, and software teams, and with external labs and collaborators, to ground research in real problems and real deployment
  • Build the evaluation, infrastructure, and verification practices that make research results trustworthy and reproducible
  • Set and track measurable goals for the research program-verifiable technical milestones, model and workload performance, and roadmap influence
  • Represent AMD's research agenda to executive leadership and to external partners; communicate results, trade-offs, and direction to both technical and business audiences
  • Attract, hire, and develop top AI research talent, and help build AMD's reputation as a destination for serious AI research
  • Stay at the frontier of AI research and translate emerging techniques into opportunity for AMD

PREFERRED EXPERIENCE:
  • Demonstrated technical leadership in AI/ML research, with a strong track record of impactful published work and/or research shipped into production or frontier models
  • Deep, current expertise in one or more core areas-reinforcement learning, large-scale model training, AI-for-systems, or AI performance optimization-with the breadth to lead across several
  • Experience leading research teams and setting technical direction across multiple concurrent programs
  • Strong understanding of the hardware-software stack underpinning large-model training and inference
  • Ability to remain hands-on with training pipelines, research prototyping, or systems work while leading a team
  • Excellent communication skills, with the ability to influence executives, partners, and engineers across organizational boundaries
  • Track record of attracting, hiring, and developing top AI research talent

ACADEMIC CREDENTIALS:
  • PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent research experience and demonstrated impact

#LI-BW1
#LI-hybrid
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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