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Assistant Llm Training Jobs (NOW HIRING)

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

Use modern AI tooling (coding assistants, LLM-based workflows) to accelerate your own development ... training anddemonstratedexperience. * Strong programming and data-wrangling skills in Python and ...

Vanguard Group

Data Scientist, Specialist

Malvern, PA · On-site

Use modern AI tooling (coding assistants, LLM-based workflows) to accelerate your own development ... of training and demonstrated experience. * Strong programming and data-wrangling skills in Python ...

Vanguard

Data Scientist, Specialist

Malvern, PA

Use modern AI tooling (coding assistants, LLM-based workflows) to accelerate your own development ... of training and demonstrated experience. * Strong programming and data-wrangling skills in Python ...

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Assistant Llm Training information

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How much do assistant llm training jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for assistant llm training in the United States is $21.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.60 per hour, depending on experience, location, and employer.

What are some typical challenges faced by Assistant LLM Training professionals, and how can they be addressed?

Assistant LLM Training professionals often encounter challenges such as ensuring high-quality data annotation, managing large and complex datasets, and keeping up with evolving model requirements. Effective communication with data scientists and engineers is crucial to align on project goals and annotation standards. Staying organized and proactive in seeking feedback can help address ambiguities in training data, while continuous learning about new tools and best practices in machine learning annotation can further enhance overall performance.

What are the key skills and qualifications needed to thrive as an Assistant LLM Training Specialist, and why are they important?

To thrive as an Assistant LLM Training Specialist, you need a solid understanding of machine learning concepts, data preprocessing, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with data annotation tools are typically required. Strong attention to detail, problem-solving skills, and the ability to collaborate effectively with data scientists and engineers set standout candidates apart. These competencies ensure the accurate preparation and management of data crucial for developing effective large language models.

What are Assistant LLM Training jobs?

Assistant LLM Training jobs typically involve supporting the development, fine-tuning, and evaluation of large language models (LLMs) like GPT or similar AI systems. Individuals in these roles may help gather and curate training data, annotate or review outputs, and assist in testing model performance. They often work closely with machine learning engineers and data scientists to ensure the LLMs produce accurate, ethical, and high-quality responses. These positions may also include monitoring for biases, suggesting improvements, and maintaining documentation related to model training.

What is the difference between Assistant Llm Training vs Data Annotator?

AspectAssistant Llm TrainingData Annotator
Required CredentialsTypically a degree in AI, computer science, or related fieldHigh school diploma or equivalent; training often provided
Work EnvironmentOffice or remote, collaborative with AI teamsMostly remote or on-site, focused on data labeling
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Common Search & ComparisonOften compared for roles supporting AI trainingCompared for data labeling and annotation tasks

Assistant Llm Training involves preparing and fine-tuning language models, requiring technical skills and relevant degrees. Data Annotator focuses on labeling data to train AI models, often with minimal formal credentials. Both roles support AI development but differ in technical complexity and responsibilities.

More about Assistant Llm Training jobs
What cities are hiring for Assistant Llm Training jobs? Cities with the most Assistant Llm Training job openings:
What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
What states have the most Assistant Llm Training jobs? States with the most job openings for Assistant Llm Training jobs include:
What job categories do people searching Assistant Llm Training jobs look for? The top searched job categories for Assistant Llm Training jobs are:
Assistant Llm Training jobs near you
Infographic showing various Assistant Llm Training job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $44,018 per year, or $21.2 per hour.
Principal Network Engineer

Principal Network Engineer

Sun Life Financial

Phoenix, AZ • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

81st of 281 rated insurance

Job description

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

Job Description:

Owner's mindset - architecture, design, continuous improvement, documentation.

The Senior Network Engineer is responsible for the design, implementation, maintenance, and optimization of enterprise network infrastructure. This role provides advanced (Tier 3) technical support and leads the delivery of complex network solutions across LAN/WAN environments.

Operating as a senior individual contributor, this role applies deep technical expertise to solve complex problems, improve system performance, and has an owner's mindset to the architecture, documentation, delivery, and continuous improvement of infrastructure initiatives. The role works independently within established standards and actively contributes to day-to-day activities and managed projects.

The ideal candidate will have strong experience designing, implementing, and supporting enterprise network infrastructure, with expertise in Cisco routing and switching technologies, WatchGuard firewalls, AWS networking services, Infrastructure as Code, and utilizing Generative Developer tools. This role will be responsible for maintaining network reliability, security, and performance across both on-premises and cloud environments.

Candidates who possess experience with certificate lifecycle management platforms, particularly Venafi, will be given additional consideration.

Key Responsibilities

  • Provide Tier 3 support for enterprise LAN/WAN environments, including routers, switches, firewalls, and network security devices
  • Design, implement, and maintain network infrastructure solutions aligned with established architectural standards
  • Troubleshoot complex network issues and drive timely resolution to ensure service stability and performance
  • Execute network changes, upgrades, and patching activities through formal change management processes
  • Optimize network performance, reliability, and cost efficiency across infrastructure components
  • Contribute to the delivery of moderately to highly complex projects, including planning, implementation, and validation
  • Partner with internal teams (e.g., security, infrastructure, application teams) to support integrated solutions
  • Design and support AWS networking solutions, including:
    • Amazon VPCs
    • Transit Gateway
    • Direct Connect
    • Site-to-Site VPN
    • Route Tables and Network ACLs
    • Security Groups
    • Load Balancing and Hybrid Connectivity
  • Document network designs, configurations, procedures, and support models to ensure operational continuity
  • Provide technical guidance and mentorship to junior team members and support knowledge sharing within the team

Qualifications

Required

  • 5+ years of experience in network engineering within enterprise environments
  • Current AWS Certified Advanced Networking - Specialty certification
  • Strong hands-on experience with:
    • Cisco routing and switching (IOS, Nexus, enterprise hardware platforms)
    • Network protocols (e.g., BGP, MPLS, EIGRP)
    • Administering and troubleshooting WatchGuard firewall solutions, VPNs, and network security technologies
  • Advanced proficiency in Infrastructure as Code (IaC) using Terraform or AWS CloudFormation, paired with experience utilizing Generative AI developer tools (e.g., Amazon Q, Amazon Bedrock, or AI coding assistants) to accelerate code generation, automate network compliance validation, and scale CI/CD network deployment pipelines
  • Deep expertise designing and optimizing high-performance AWS cloud network architectures tailored for AI/ML workloads.
    • Demonstrated ability to configure and scale data-transfer pipelines to Amazon S3 and compute clusters, managing high-bandwidth, ultra-low-latency traffic patterns.
    • Knowledge of advanced networking protocols and mechanisms for AI data clusters (e.g., congestion control protocols, minimizing packet loss, and maximizing throughput) to support seamless Large Language Model (LLM) training and inference deployments
  • Experience supporting and maintaining large-scale LAN/WAN environments
  • Strong troubleshooting, diagnostic, and problem-solving capabilities
  • Knowledge of Zero Trust and modern network security architectures
  • Experience with change management and operational support processes
  • Strong written and verbal communication skills
  • Bachelor's degree or equivalent experience

Preferred

  • Cisco or security certifications (e.g., CCNP, CCIE, CCSE)
  • Experience with network security tools (IDS/IPS, SIEM, proxies, etc.)
  • Experience with Venafi certificate lifecycle management and PKI administration.
  • Exposure to virtualization environments (e.g., VMware)

Salary Range: $70,300 - $105,500
At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email thebrightside@sunlife.comto request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

IT - Technology Services

Posting End Date:

28/08/2026

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