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Assistant Llm Training Jobs (NOW HIRING)

Channel Partners

Senior AI Application Engineer

Tampa, FL · On-site +1

$120K - $140K/yr

... internal assistants, chatbots, and RAG-based retrieval systems. * Define and enforce AI ... Support LLM training, fine-tuning, and private/on-prem deployment in secure, closed environments ...

Datasite

SEO/GEO Marketing Manager

Minneapolis, MN · On-site

... assistants (ChatGPT, Claude, Gemini, Copilot, Perplexity). Identify high-value niche queries for M& ... LLM training sets. Manage backlink profile health, including disavowal of toxic links and ...

Hop

Principal AI Architect

San Francisco, CA · On-site

Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge graph ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Hop

Principal AI Architect

San Francisco, CA

LLM training and fine-tuning, agentic system design, knowledge graph construction, large-scale data ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

... LLM training, production deployment, and optimizations to advance the state of LLMs. You will ... assistants they interact with - from the metrics themselves to software applications to deep dive ...

MSRCosmos

AI Solution Architect

Bellevue, WA · Hybrid

$71 - $93.75/hr

... assistants LLM APIs prompt engineering costperf controls Azure AI Search vector search hybrid retrieval custom scoring reranking Azure ML training deployment model registry pipelines Cognitive ...

poolside

Member of Engineering (Scalability)

... assistants, and the frontier models that power them. We deploy these systems directly into the ... A basic understanding of LLM training and inference principles is required. We look for fast ...

Texas State Library and Archives Commision

AI Architect

$65 - $84.75/hr

... assistants LLM APIs prompt engineering costperf controls Azure AI Search vector search hybrid retrieval custom scoring/reranking Azure ML training deployment model registry pipelines Cognitive ...

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Assistant Llm Training information

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$12

$21

$31

How much do assistant llm training jobs pay per hour?

As of May 29, 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 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 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 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 May 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 33% Physical, 2% Hybrid, and 65% Remote job distribution, with an average salary of $44,018 per year, or $21.2 per hour.
SEO/GEO Marketing Manager

SEO/GEO Marketing Manager

Datasite LLC

Minneapolis, MN

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing

and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.

Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish.

Get started now, we look forward to meeting you..

Job Description:

We are seeking a forward-thinking SEO/GEO Marketing Manager to lead our SEO, AEO/GEO, and digital content efforts across global markets. This role goes beyond traditional organic growth strategies to include visibility across platforms ChatGPT, Claude, and Gemini, ensuring Datasite is not just ranked, but referenced, as a trusted leader in M&A workflow technology.

You will be responsible for managing the transition from traditional search to AI driven answer engines. This means you will be optimizing both search engines (Google, Bing, etc.) and AI platforms and conversational platforms. You will be hands-on in enhancing our digital presence through technical SEO, AEO/GEO targeted tactics, LLM content structuring, and direct content creation. This role requires someone who combines analytical rigor, strategic foresight, and strong content skills to help Datasite own the organic demand space.

Responsibilities

  • Integrated organic & AI search strategy: Develop and execute a global strategy spanning traditional SEO and Answer Engine Optimization (AEO), with the explicit goal of making Datasite both rank in search engines and citable in AI assistants (ChatGPT, Claude, Gemini, Copilot, Perplexity). Identify high-value niche queries for M&A professionals that may surface in both search and conversational AI interactions.
  • Link Building: Lead an Authority & Entity Building program through digital PR, strategic partnerships, link building, and unlinked brand mentions to establish domain authority and solidify Datasite's semantic association with M&A technology in LLM training sets. Manage backlink profile health, including disavowal of toxic links and competitive link gap analysis.
  • Content creation & structuring for LLM recognition: Work with our content team to create and optimize content (web copy, articles, resources, FAQs) that aligns with structured knowledge formats favored by LLMs, such as Q&A formatting, schema markup, and authoritative source content. Ensure content is technically structured to increase likelihood of AI citation.
  • Technical SEO & AI readiness: Partner with the Web Development Manager to deploy structured data markup, ensure site crawlers and LLM scrapers can access content effectively, and implement long-term AI readiness improvements (embedding strategy, no-login/public access guidelines where appropriate).
  • Keyword, entity & intent mapping: Conduct SEO and entity-based keyword research, mapping key topics, entities, and semantic signal opportunities across both search engines and LLM models.
  • Geo-targeted optimization: Lead a localization strategy across priority markets, ensuring localization practices (translations, hreflang, regional content, localized AI prompts) support regional organic growth and LLM relevancy.
  • Performance analysis: Track and report on organic search performance, including demand, rankings, CTR, traffic, and LLM visibility metrics (e.g., referenced queries, query fan outs, position in AI response testing). Use tools such as GA4, Search Console, SEMrush, and AI response benchmarking platforms.
  • Cross-functional collaboration: Work with content marketers, digital, product marketing, and thought leadership teams to align organic strategies with go-to-market priorities and significant content moments (e.g., Deal Drivers, product releases, expert content).
  • Stay ahead of AI trends: Proactively test Datasite visibility within AI assistants (ChatGPT, Gemini, Copilot, Perplexity), tracking improvements and leading experimentation. Educate the marketing team on AEO best practices and evolving AI trends in digital discovery.

Qualifications

  • 5+ years of digital marketing experience with deep expertise in SEO and organic growth strategy.
  • Proven track record of increasing brand prominence, organic traffic, and conversions for B2B companies (ideally SaaS or technology).
  • Strong understanding of entity-based search tactics, Knowledge Graph management, and semantic NLP optimization.
  • Experience designing or optimizing content specifically for AI/LLM discoverability or answer engines.
  • Analytical skills using GA4, Search Console, and SEO platforms (Ahrefs, SEMrush, etc.).
  • Comfort operating in a measurement environment that is still maturing, able to set meaningful KPIs and defend them when complete attribution isn't available.
  • Technical understanding of HTML, metadata, and on-page optimization enough to brief developers.
  • Highly collaborative, hands-on mindset, capable of juggling strategic planning and execution.

Preferred

  • Experience with AEO and visibility strategies in LLM platforms (ChatGPT, Gemini, Copilot, Perplexity).
  • Background in M&A, financial technology, or transaction lifecycle content.
  • Familiarity with LLM prompt engineering concepts or entity-based UX optimization.
  • Understanding of content distribution strategies to feed AI knowledge (e.g., public knowledge graphs, structured publishing, AI indexing enablement).
  • Knowledge of CRO and high-intent conversion strategies for organic landing pages.
  • Certifications in SEO, analytics, or AI-related marketing methodologies.

Work Location & Flexibility

This position can be located remotely however if the candidate is based in our Minneapolis or New York City locations the office follows a hybrid work model. Employees in these locations are expected to work on-site a minimum of two days per week. Please note that specific business units or role requirements may necessitate additional in-office days based on team collaboration needs or operational priorities.

The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.

$99,000.00 - $172,700.00

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

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