1

Contract Llm Developer Jobs in Michigan (NOW HIRING)

Demonstrated ability to act as a bridge between Data Science, Engineering, and Product--taking raw ... Familiarity with LLM evaluation techniques (e.g., prompt effectiveness, hallucination tracking ...

Showing results 21-23

Contract Llm Developer information

What are some common challenges contract LLM developers face when working with clients on AI projects?

Contract LLM Developers often encounter challenges such as aligning client expectations with the current capabilities and limitations of large language models, ensuring data privacy and compliance, and integrating AI solutions into existing systems. Communication is key, as clients may not fully understand the technical constraints or required data preparation. Additionally, managing project scope and timelines while balancing multiple stakeholders' input can require strong project management and negotiation skills.

What is a contract LLM developer?

Contract LLM Developers are professionals hired on a temporary or project basis to design, develop, and implement applications using large language models (LLMs) like GPT-4. They typically work with organizations seeking to integrate advanced natural language processing (NLP) capabilities into their products or services. Contract LLM Developers are skilled in machine learning, programming languages such as Python, and have experience with AI frameworks and APIs. Their responsibilities may include fine-tuning language models, building conversational AI systems, and ensuring the ethical use of AI technologies.

What are the key skills and qualifications needed to thrive as a contract LLM developer?

To thrive as a Contract LLM Developer, you need strong programming skills (often in Python), a solid understanding of machine learning concepts, and experience with large language models, typically supported by a degree in computer science or related field. Familiarity with tools like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as experience with APIs and version control systems, is common. Excellent problem-solving, communication, and the ability to quickly adapt to new technologies help you stand out in this freelance or project-based role. These skills are critical for efficiently developing, fine-tuning, and deploying sophisticated language models that meet client requirements.

What is the difference between Contract Llm Developer vs Contract Software Engineer?

AspectContract Llm DeveloperContract Software Engineer
Required CredentialsTypically requires a law degree, LLM specialization, and legal certificationsRequires a computer science degree or related technical certifications
Work EnvironmentLegal firms, AI companies focusing on legal tech, or law departmentsTech companies, software development firms, or startups
Industry UsageLegal tech, AI legal applications, compliance toolsGeneral software development, AI, and tech industries
Common Search/ComparisonYesYes

The Contract Llm Developer specializes in legal language models, requiring legal expertise and an LLM degree, often working within legal tech or law-related industries. In contrast, a Contract Software Engineer focuses on software development skills and technical certifications, working across various tech sectors. While both roles involve AI and contract work, their core skills and industry applications differ significantly.

What are the most commonly searched types of Llm Developer jobs in Michigan? The most popular types of Llm Developer jobs in Michigan are:
What are popular job titles related to Contract Llm Developer jobs in Michigan? For Contract Llm Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Contract Llm Developer jobs in Michigan look for? The top searched job categories for Contract Llm Developer jobs in Michigan are:
What cities in Michigan are hiring for Contract Llm Developer jobs? Cities in Michigan with the most Contract Llm Developer job openings:

Senior Program Manager, Demand Generation

Relativity

Detroit, MI • On-site

$128K - $192K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Posting Type

Hybrid

Job Overview

Gavel has been acquired by Relativity, the leading legal data intelligence company. Gavel currently operates as a standalone product line within Relativity, with two products: Gavel Workflows, a legal document automation platform for law firms, and Gavel Exec, an AI contract review and drafting tool for in-house legal teams and transactional attorneys.
This role owns all inbound demand generation and marketing-led outbound for both products, driving free trials and demo requests across the full funnel. In the near-term, you will be the only dedicated marketer on the Gavel team: building and running the playbook. You will own the strategy, the tech stack, the channels, and the reporting, and you will advise the CEO and cross-functional leadership on where to invest and why.
This is a high-autonomy role for someone who has operated as a solo marketing function before, thinks in systems, and holds themselves accountable to pipeline and revenue outcomes.

Job Description and Requirements

Role Responsibilities

Demand Generation and Pipeline

  • Define the demand generation strategy across both products and own the outcomes: trials, demos, CAC, ACV, LTV

  • Own andoptimizepaid search and paid social campaigns across Google Ads, Microsoft Ads, Meta, LinkedIn, Reddit, and OpenAI

  • Adviseleadership on funnel health, channel ROI, and investment prioritization

  • Identify, build, and run experiments and big bets to drive step-change growth, from hypothesis to execution and reporting

Website, Content, and SEO

  • Own ourWebflowsite: strategy, page edits, CMS updates, and new page launches

  • Define and drive the SEO and AEO content strategy, including the competitor comparison hub and LLM citation visibility program

  • Run editorial operations for two founderSubstacksand bi-weekly newsletters

  • Oversee contractors for SEO/AEO execution and social content production

CRM, Email, and Lifecycle

  • Own HubSpot as the system of record: contact management, lifecycle stages, routing logic, and lead flow

  • Design and build onboarding, nurture, sales, and marketing email sequences across both products

  • Partner with sales and customer success on pipeline content, outbound sequences, competitive assets, and retention communications

Analytics, Attribution, and Operations

  • Maintain and evolve the marketing attribution model, including cross-functional work with engineering to connect pre-signup session data to revenue outcomes

  • Translate data fromBigQuery, Looker, HubSpot, GA4, and Google Sheets into clear recommendations for leadership

  • Own the fullmartechstack and build AI workflows and automations across your workflow

What We Are Looking For

  • 7 to 10 years of experience in demand generation, growth marketing, or a closely related role at a B2B SaaS company

  • Demonstrated experience as a solo or near-solo marketer who owned strategy and outcomes, not just execution

  • Hands-on paid ownership: you have managed campaigns, made budget and bid decisions, and understood conversion tracking at a technical level

  • Strong HubSpotproficiencyacross sequences, workflows, lifecycle management, and reporting

  • Experience designing and executing SEO or content programs with measurable pipeline impact

  • Comfortable working cross-functionally with engineering and data teams to build marketing infrastructure and translate data fromBigQuery, Looker, HubSpot, GA4, and spreadsheets into investment recommendations

  • AI fluency: you use AI tools as a core part of how you work to build automations, produce content, analyze data, and move faster than a team of one should be able to

  • Strong written communication: you write copy, briefs, and strategic recommendations regularly and well

Preferred Qualifications

  • Experience with AEO, LLM citation optimization, or AI-driven search visibility programs

  • Familiarity withBigQueryor data warehouse tools for marketing attribution

  • Experience inlegaltech, legal operations, or selling to law firms or in-house legal teams

  • Experience building and owning amartechstack from the ground up

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$128,000 and $192,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Content Strategy, Demand Generation Strategy, HubSpot CMS, Marketing Attribution, Marketing Research Strategy, Paid Search Marketing, Sales Enablement, Search Engine Optimization (SEO)