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Artificial Intelligence And Machine Learning Jobs

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Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data ...

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for artificial intelligence and machine learning in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Artificial Intelligence and Machine Learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

What are Artificial Intelligence and Machine Learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence and machine learning, such as a senior AI researcher, machine learning director, or executive role. These roles often require advanced skills in data science, programming, and deep learning, along with significant experience and leadership responsibilities.

Is there a job related with machine learning for artificial intelligence?

Yes, roles such as Machine Learning Engineer and AI Research Scientist focus on developing algorithms and models for artificial intelligence systems. These jobs typically require skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. They are available across various industries including tech, healthcare, finance, and automotive.

What jobs can you get with AI machine learning?

Jobs in AI and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence and Machine Learning (AI/ML) Engineer, and why are they important?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What is AI ML salary?

Salaries for Artificial Intelligence and Machine Learning professionals vary based on experience, location, and skill level, but typically range from $80,000 to over $150,000 annually. Entry-level roles may start lower, while experienced specialists with skills in deep learning, data analysis, and programming languages like Python tend to earn higher salaries.
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Artificial Intelligence And Machine Learning jobs near you
Infographic showing various Artificial Intelligence And Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.
Artificial Intelligence/Machine Learning Oversight Specialist

Artificial Intelligence/Machine Learning Oversight Specialist

Connect Tech+Talent

Austin, TX • Remote

$17.75 - $23/hr

Other

Posted 19 days ago

Job description

Job Description Artificial Intelligence/Machine Learning Oversight Specialist Austin, Texas (Hybrid or Fully remote) Contract (Part Time - 20 hours per week - 500 hours) Minimum: 2+ Years - Production software engineering including: Python backend services async pipeline architecture gRPC/REST API development 2+ Years - Demonstrated ability to build, ship, and maintain systems at scale with measurable performance outcomes 2+ Years - Regression testing framework design and execution 2+ Years - Experience building automated test infrastructure that provides coverage across complex multi-system workflows, including systems not accessible via standard DOM or API selectors 2+ Years - High-volume data pipeline validation including batched ingestion, bulk-load integrity verification, record count reconciliation, and exception identification across large structured datasets 1+ Years - Clear technical communication of system behavior, and quality findings to cross-functional teams including engineers, product managers, and non-technical stakeholders in a structured delivery environment Preferred: 2+ Years - PostgreSQL query optimization, bulk-load performance tuning, and data integrity validation at scale; experience identifying and resolving data quality issues across high-volume ingestion and transformation pipelines 1+ Year - Cross-team code review discipline with demonstrated ability to catch API contract issues, performance regressions, and data integrity risks before production; experience reviewing both backend and frontend pull requests across multi-engineer teams 1+ Year - Experience in a production engineering environment requiring end-to-end ownership of quality outcomes across multiple product teams or customer-facing services; comfort operating across ambiguous, fast-moving technical environments with high accountability

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