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Language Model Jobs in Lexington, SC (NOW HIRING)

United Airlines

Senior AI Engineer

Columbia, SC · Hybrid

$51 - $66/hr

Develop and scale AI platforms leveraging Large Language Model (LLM) services, real time analytics, AI automation, and intelligent decision-making * Act as an advisor and collaborate with leadership ...

Varsity Tutors

ChatGPT Tutor

Columbia, SC · Remote

$40/hr

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

SSOE, Inc.

Architect

Columbia, SC

$75K - $95K/yr

As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely ...

SSOE, Inc.

Architect

Columbia, SC · On-site

$75K - $95K/yr

As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely ...

Duckcreek

Principal Software Engineer- GenAI

Columbia, SC

$124.90K - $167.40K/yr

You will design and implement scalable, secure, and high-performing systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AI-driven services. This role ...

State of South Carolina

Postdoctoral Fellow

Columbia, SC

$45.50K - $61.70K/yr

Demonstrated experience with computational modeling or machine learning applied to neural data; Proficiency in programming (e.g., Python, MATLAB , or R); Prior research experience in language ...

Jobsbridge

Sr Hadoop Developer

Columbia, SC · On-site

... language such as Python, Shell Extremely comfortable developing on Linux servers Some experience of web development stacks, analytics, NoSQL data stores, data modeling, analytical tools and libraries ...

Job Board

Senior Threat Researcher

North, SC · On-site

At Corelight, we don't just find threats; we decode the language of the network to stay steps ahead ... Deep competence in the OSI model and TCP/IP, with the ability to map emerging adversary tactics to ...

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See Lexington, SC salary details

$8

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How much do language model jobs pay per hour?

As of May 31, 2026, the average hourly pay for language model in Lexington, SC is $26.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $33.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Language Model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.

What are language models?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are popular job titles related to Language Model jobs in Lexington, SC? For Language Model jobs in Lexington, SC, the most frequently searched job titles are:
What job categories do people searching Language Model jobs in Lexington, SC look for? The top searched job categories for Language Model jobs in Lexington, SC are:
Language Model jobs near you
Lead Cloud Infrastructure Engineer / Site Reliability Engineer (SRE)

Lead Cloud Infrastructure Engineer / Site Reliability Engineer (SRE)

Job Board

North, SC

$53 - $70.25/hr

Other

Posted 11 days ago

Job description

As a Lead Cloud Infrastructure Engineer / Site Reliability Engineer (SRE), you will ensure the stability, performance, and security of our Federal region's cloud platform. You'll manage infrastructure and operations with a focus on availability, latency, performance optimization, monitoring, incident response, and capacity planning. This role requires maintaining a FedRAMP-compliant environment and working closely with teams to meet the highest standards of security and compliance.

We adopt an "everything as code" approach, leveraging automation and best practices to create an efficient, reliable, and scalable infrastructure. You will be instrumental in maintaining core infrastructure services that are robust, secure, and capable of processing high volumes of data seamlessly.

The successful candidate must be a U.S. citizen and may need to perform work that the U.S. government has specified can only be carried out by a U.S. citizen on U.S. soil.

Responsibilities
  • Collaborate with software engineering teams to ensure the reliability, performance, and security of the Federal region's infrastructure.
  • Design, deploy, and scale AI/ML/LLM infrastructure across cloud platforms (AWS, Azure, or GCP) ensuring high reliability and performance.
  • Manage and optimize Kubernetes environments (EKS, AKS, GKE) for AI services, data pipelines, and model operations.
  • Build and automate end-to-end data and model pipelines for fine-tuning, inference, and RAG workloads using Terraform, Python, and CI/CD tooling.
  • Utilize automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to streamline ML/LLM tasks across the Large Language Model lifecycle.
  • Implement monitoring, observability, and reliability best practices using Prometheus, Grafana, ELK/EFK, Langfuse, and SLI/SLO/SLA frameworks.
  • Participate in 24x7 on-call rotations, leading incident response, performance tuning, and cost optimization across SaaS Platform and production workloads
  • Own infrastructure end to end, leading scaling initiatives, deployments, and automation, and providing technical leadership across the team
Qualifications/Requirements:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience.
  • 8+ years in SRE, DevOps, Platform Engineering, MLOps, or Cloud Infrastructure roles.
  • 4+ years of production experience with Kubernetes (EKS, GKE, AKS) and containerization tools like Docker.
  • Strong programming skills in Python and proficiency in Zyphyrscript, Bash, Go, or PowerShell.
  • Proficiency with Infrastructure-as-Code tools (Terraform, CloudFormation).
  • Experience with Kubernetes Operators, Helm, GitOps (ArgoCD, Flux), or Service Mesh (Istio, Linkerd).
  • Exposure to serverless compute (AWS Lambda, Azure Functions).
  • Experience building or automating data and model pipelines for AI/ML/LLM workloads (e.g., RAG, fine-tuning, inference).
  • Strong understanding of observability and monitoring using Prometheus, Grafana, ELK/EFK, Langfuse, or similar platforms.
  • Familiarity with SLI/SLO/SLA practices, incident response, and reliability engineering in production environments.
Preferred Qualifications (Nice to Have):
  • Cloud certifications (AWS, Azure, or GCP - e.g., Solutions Architect, DevOps Engineer).
  • Experience with agentic AI frameworks (CrewAI, LangGraph, AutoGen).
  • Background in hybrid or on-prem AI deployments, including OpenShift or Rancher.
  • Familiarity with configuration management (Ansible, Chef, Puppet).
  • Contributions to open-source AI/ML, DevOps, or platform tooling.
  • Experience with multimodal AI or model observability platforms (RAGAS, AgentOps, Langtrace), Distributed Tracing, OpenTelemetry.
  • Knowledge of performance tuning, cost efficiency, or capacity planning for AI/LLM infrastructure.
  • Understanding of security controls and FedRAMP compliance for cloud and various workloads.
Additional Requirements

Due to the criteria and security levels required for Corelight's FedRAMP program, this position requires:

  • U.S. citizenship at the time of hire.
  • Residence within the contiguous United States.
  • Willingness to undergo a Single Scope Background Investigation, if required.

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