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Ai Data Analytics Jobs in Baton Rouge, LA (NOW HIRING)

DataAnnotation

M&A Associate - AI Trainer

Baton Rouge, LA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

IBM

Sr. Consultant, Data Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

... analytics. * Mentorship of junior engineers in best practices for data ingestion, performance ... Ability to optimize data and AI solutions for performance and scalability.

JM TEST SYSTEMS LLC

Senior Sales Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

... analytics and AI tools and technologies, recommending and implementing solutions that enhance the company's analytics and commercial capabilities. Qualifications: * Bachelor's degree in Data Science ...

Lindsay & Brownell

AI Engineer

Baton Rouge, LA · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field * 5-7+ ... Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity integration. * Tools for ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Baton Rouge, LA

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See Baton Rouge, LA salary details

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How much do ai data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai data analytics in Baton Rouge, LA is $47.90, according to ZipRecruiter salary data. Most workers in this role earn between $38.51 and $54.28 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.
What are popular job titles related to Ai Data Analytics jobs in Baton Rouge, LA? For Ai Data Analytics jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Ai Data Analytics jobs in Baton Rouge, LA look for? The top searched job categories for Ai Data Analytics jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Ai Data Analytics jobs? Cities near Baton Rouge, LA with the most Ai Data Analytics job openings:
Ai Data Analytics jobs near you

Product Development Chemist - AI Trainer - Remote

micro1 AI

Baton Rouge, LA • Remote

$70 - $90/hr

Part-time

Posted 9 days ago

Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.

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