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About This Role
\*\*\*THIS RECRUITMENT MAY CLOSE WITHOUT FURTHER NOTICE DEPENDING ON THE NUMBER OF APPLICATIONS RECEIVED. APPLICANTS ARE ENCOURAGED TO APPLY AS SOON AS POSSIBLE\*\*\*
Job Summary
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This recruitment is for an Admin Assistant 1\. The eligible list will be used to fill current and future vacancies in various locations and agencies across the State of Nevada. The Admin Assistant 1 perform clerical and secretarial duties in support of a work unit or program in an assigned agency. Incumbents may specialize in word processing, data entry, telephone/reception duties, files/records maintenance, transcription, or other assignments or they may serve in a generalist capacity and perform many of the duties described in the series concept.
Administrative Assistants perform a broad variety of clerical, secretarial and administrative support duties in an assigned agency, program or other work unit within State government and the Nevada System of Higher Education (NSHE). Typical duties include maintaining records and files; composing and editing correspondence; data entry; office management; budget monitoring and accounts maintenance; typing and word processing; answering telephones and relaying information; reception; duplicating and distributing materials; preparing for meetings and taking minutes; ordering and stocking supplies and equipment; receiving, sorting and delivering mail; reviewing and processing applications, forms and other documents; operating office equipment such as copiers, personal computers, computer terminals, calculators, facsimile machines, printers, and other equipment; and performing related duties as assigned.
Essential Qualifications
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PER EXECUTIVE ORDER 2026\-001, ALL MINIMUM QUALIFICATIONS HAVE BEEN WAIVED FOR THIS POSITION UNTIL JUNE 30, 2026\. Please refer to the link for more information: https://gov.nv.gov/Newsroom/ExecOrders/Executive\-Orders/
Graduation from high school or equivalent education and one year of clerical experience which included experience in one or more of the following areas: maintaining records, answering telephones, and reviewing forms, documents and other written materials; OR six months of experience as an Administrative Aid in Nevada State service; OR an equivalent combination of education and experience.
Job Duties
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Provide program support duties such as assisting program clientele in person and on the telephone; explain application procedures and essential eligibility requirements; review basic forms and applications for completeness and standardized criteria; send out determination notices and contact clientele regarding inconsistent or incomplete information using standard forms and correspondence; receive, receipt and account for fees and money received.
Perform secretarial duties in support of an assigned supervisor or work unit; schedule appointments; arrange internal agency meetings and travel; open, screen and route mail and respond to routine items not requiring the supervisor’s attention; answer telephones, take messages and relay factual information to others as requested by the supervisor.
Retrieve and compile financial, statistical, and narrative information for inclusion in recurring reports related to work unit activities; summarize data as required for ad hoc reports; search specific sites on the Internet for factual information as directed.
Gather information to assist in preparing and processing documents related to payroll, personnel, budget, accounts, and other information related to agency programs and activities; complete required forms or record actions on\-line in accordance with State regulations and agency policies; compile and sort documents; match and verify identifying information; check arithmetic calculations.
Receive payments, prepare receipts and match payment to receivable document; post payments to receivable accounts; prepare vouchers payable and assign accounting codes for general ledger groups and/or categories as assigned; review and compare internal accounting records to budget status reports; check account information and respond to inquiries from clients or vendors.
Type, format, produce and duplicate reports, correspondence and other documents using word processing, spreadsheet and associated business software; perform production typing from rough drafts or tapes; format documents received via disk, electronic mail or other means; check and correct spelling, punctuation and grammar as needed.
Order, receive, and store office supplies, forms, and equipment according to established procedures and instructions; prepare and process purchase orders, requisitions, or other documentation.
Maintain unit or program related records and files in accordance with agency policies and procedures and established records retention schedules; locate and supply information requested by the public using various internal files; purge duplicate and outdated materials.
Perform data entry assignments, entering data from a variety of documents and resolving coding problems referred by lower level staff which may include illegible, incomplete or incorrect data; review and edit reports related to data entered; back up data and transfer files to host system; and schedule system maintenance.
Prepare mailings to agencies and clientele to various locations according to established distribution lists and postal regulations; package and send items via express carriers as required by time and cost constraints.
Positions at this level perform clerical and secretarial duties in support of a work unit or program in an assigned agency. Incumbents may specialize in word processing, data entry, telephone/reception duties, files/records maintenance, transcription, or other assignments or they may serve in a generalist capacity and perform many of the duties described in the series concept. At this level, work involves interrelated and/or recurring tasks that require following standardized, sequential steps, processes, or procedures. Assignments are structured and specific guidelines are available in procedure manuals and/or written or verbal instructions. Deviations from standard practices require prior approval by the supervisor, who is generally available to answer questions and make decisions, or professional staff within the work unit. Errors generally affect immediate or surrounding work units or a particular phase of agency operations and could create inconvenience to co\-workers and program clientele. Incumbents obtain factual information, resolve procedural problems and discrepancies, and explain standard procedures, program requirements and/or practices. Positions at this level may or may not supervise lower level staff.
Knowledge, Skills, and Abilities
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*This job specification lists the major knowledge, skills and abilities of the job and is not all inclusive. Incumbent(s) will be expected to have knowledge, skills and abilities from a previous level.*
Working knowledge of: standard office procedures, practices and methods; word processing software; data entry techniques; recordkeeping techniques; telephone etiquette.
General knowledge of: business English; business software including spreadsheets and database management; basic customer service skills; basic financial and statistical recordkeeping methods; clerical accounting procedures.
Ability to: provide administrative support to agency staff in program and management activities; apply and explain rules, regulations, policies and procedures related to a specific program or service; read and understand manuals and other detailed written materials; review applications and other documents for completeness and conformance to established procedures and requirements; maintain records including manual and electronic files; process timesheets, payroll documents, purchase orders, invoices, claims, and related materials according to clearly established procedures; enter data in computer equipment and resolve data discrepancies; type, format and produce correspondence, reports and other materials using a personal computer or typewriter; compose routine business correspondence.
Skill in: the operation and use of office equipment; typing at a rate of speed designated by the hiring authority.
Recruiter Contact Information: SonjaGrass \-SonjaGrass@admin.nv.gov
The State of Nevada is an equal opportunity employer dedicated to building diverse, inclusive, and innovative work environments with employees who reflect our communities and enthusiastically serve them. All applicants are considered without regard to race, color, national origin, religion or belief, age, disability, sex, sexual orientation, gender identity or expression, pregnancy, domestic partnership, genetic information (GINA), or compensation and/or wages.
Please send direct Inquiries or correspondence to the recruiter listed on this announcement.
Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At State of Nevada, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
State of Nevada AI Hiring
State of Nevada has 2 open AI roles right now. They're hiring across AI/ML Engineer. Based in NV, US.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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