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Temporary Large Language Model Llm Jobs in Baton Rouge, LA

ChatGPT Tutor

Baton Rouge, LA ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

AI/ML Support Engineer

Baton Rouge, LA ยท On-site

$38 - $43/hr

... language processing, with a specific emphasis on data analysis, data pipelines, and model ... Generative AI Experience with LLM and Generative AI and G Cloud Products and services (e.g Vertex ...

About the team and what we'll build together Kobie runs some of the largest loyalty programs in the ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

About the team and what we'll build together Kobie runs some of the largest loyalty programs in the ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

... language, analysis and classified information. Most assignments are at shore-based Centers of Excellence, with opportunities for temporary duty aboard surface and subsurface platforms. Work ...

New

... language, analysis and classified information. Most assignments are at shore-based Centers of Excellence, with opportunities for temporary duty aboard surface and subsurface platforms. Work ...

New

... language, analysis and classified information. Most assignments are at shore-based Centers of Excellence, with opportunities for temporary duty aboard surface and subsurface platforms. Work ...

New

... language, analysis and classified information. Most assignments are at shore-based Centers of Excellence, with opportunities for temporary duty aboard surface and subsurface platforms. Work ...

New

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Temporary Large Language Model Llm information

See Baton Rouge, LA salary details

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$36

How much do temporary large language model llm jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for temporary large language model llm in Baton Rouge, LA is $23.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $27.93 per hour, depending on experience, location, and employer.

What is a temporary large language model LLM?

Temporary Large Language Model (LLM) roles involve short-term positions where individuals work with or support the development, training, or deployment of large language models like GPT or similar AI technologies. These roles may include tasks such as data annotation, prompt engineering, model evaluation, or assisting in content moderation powered by LLMs. Temporary LLM roles are often project-based and can be found in tech companies, research labs, or organizations utilizing AI for various applications. They generally require familiarity with AI concepts, attention to detail, and sometimes programming skills.

What are the key skills and qualifications needed to thrive as a temporary large language model LLM?

To thrive as a Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with tools like Python, TensorFlow or PyTorch, and experience with cloud platforms and version control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These skills are crucial for developing, fine-tuning, and deploying LLMs that deliver accurate and ethical AI solutions.

What are the typical challenges faced by professionals working in a temporary large language model LLM role, and how can they be addressed?

Professionals in temporary Large Language Model (LLM) roles often encounter challenges such as quickly adapting to new datasets, ensuring data privacy, and optimizing model performance within tight deadlines. Since these roles are project-based, there may be limited onboarding time, requiring a strong ability to learn and collaborate rapidly with cross-functional teams like data engineers and product managers. To succeed, it's helpful to be proactive in seeking clarification, documenting work thoroughly, and staying updated on the latest advancements in LLM technologies.

What is the difference between Temporary Large Language Model Llm vs Data Scientist?

AspectTemporary Large Language Model LlmData Scientist
Required CredentialsTypically no formal degree, but expertise in AI/ML and programmingUsually requires a degree in Computer Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesData analysis, modeling, and business insights in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, and more
Common Search & ComparisonFocuses on AI model deployment and developmentFocuses on data analysis and insights

The main difference is that a Temporary Large Language Model Llm is an AI system or model used for language processing, while a Data Scientist analyzes data to generate insights. The Llm is a tool or product, whereas the Data Scientist is a professional role that may utilize models like Llm in their work.

What job categories do people searching Temporary Large Language Model Llm jobs in Baton Rouge, LA look for?

The top searched job categories for Temporary Large Language Model Llm jobs in Baton Rouge, LA are:

Infographic showing various Temporary Large Language Model Llm job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 72% In-person, 7% Hybrid, and 21% Remote job distribution, with an average salary of $48,612 per year, or $23.4 per hour.

VP / AVP, GenAI Engineer/Scientist, Innovation Group

UOB

Central, LA โ€ข On-site

$120 - $160/hr

Other

Posted 8 days ago


Job description

## VP / AVP, GenAI Engineer/Scientist, Innovation GroupApplyremote type: Onsitelocations: Central Region (City Area)time type: Full timeposted on: Posted Todayjob requisition id: JR80139Company: 1011 United Overseas Bank Ltd **About UOB**United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values โ€“ Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.**Job Description**The team is responsible for driving operational excellence and governance in the adoption of agentic applications across the bank. This role ensures the successful implementation and maintenance of agent-based solutions by defining roadmaps, managing evaluation processes, and embedding responsible AI practices. The position partners with cross-functional teams to deliver secure, efficient, and compliant agentic operations.**Key Responsibilities****Service Operations*** Grow the agent impact through improvement in performance, growth in capabilities and design, build, and roll out for additional users.* Run the operational processes for agent lifecycle management, including onboarding, configuration, and retirement of agents.* Monitor agent performance, uptime, and compliance with SLAs.* Coordinate with business, technology, and innovation teams to integrate agent workflows into incidents, problems, and change management processes.* Ensure robust logging, audit trails, and reporting agent actions to support transparency and regulatory requirements.* Drive continuous improvement of service operations through root cause analysis, automation opportunities, and performance optimization.* Develop and maintain SOPs, FAQs, and user guides to support agentic workflows and ensure clarity for end-users.**Agent Evaluation & Issue Triage*** Apply evaluation frameworks for agent performance, reliability, and compliance.* Lead issue of triage and resolution processes for agent-related incidents.* Collaborate with business, technology, and innovation teams to implement corrective actions and improvements.* Prompt Fine-Tuning* Craft and optimize prompts, system messages, and few-shot examples to maximize model relevance, accuracy, and cost efficiency.* Monitor performance metrics (e.g., latency, token usage, output quality) and refine prompts or pipelines as needed.* Ensure prompt tuning aligns with business objectives and ethical guidelines.* Constantly monitor and evaluate impacts from regulatory, policy or business-directed changes and update roadmap / prompts accordingly.**Key Skills Required****Core Functional Skills*** Performance Monitoring* Process Improvement* Service Lifecycle Management**Technical Skills*** Strong Data Science fundamentals: Experimental design, measurement, error analysis, statistical thinking, evaluation methodology. Hands-on Python experience for prototyping and production-grade experimentation.* Experience with LLM & Agentic AI systems: Fine-tuning, RAG, prompt optimization, evaluation frameworks* Applied NLP skills: embeddings, retrieval methods, classification/extraction, calibration, and reliability concepts.* Responsible AI: bias testing, privacy leakage checks, audit artifacts**Qualifications*** Bachelorโ€™s degree in Data Science, Statistics, Computer Science, Information Systems, or related field* 5 to 10 years of hands on experience designing, building, and operationalizing end to end AI/ML systems, including data preparation, model development, deployment, and post production monitoring.* A minimum of 1 to 2 years of dedicated experience working on generative AI and large language model projects.* Hands-on experience designing prompts, tuning outputs, and integrating large language models (Claude Sonnet 3.5, GPT-class, etc.) into end-user applications.* Familiarity with AI Agent model evaluation techniques.* Ability to articulate complex technical concepts to non-technical stakeholders.* Experience in the banking or financial services industry is a plus.## **Additional Requirements**Be a Part of the UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. #J-18808-Ljbffr