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About This Role
Social Media Aide (Hourly/Non\-Benefited)
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Santa Fe Springs, CA
Santa Fe Springs, California United States
Posted: Apr 11, 2026
- Salary: $22\.15 \- $28\.90 Hourly USD
- Full Time
- Parks and Recreation
The City of Santa Fe Springs seeks applicants for the position of Social Media Aide. This is a hourly/non\-benefited position. Incumbents are expected to be available to work approximately 20\-25 hours per week on a flexible schedule including evenings, weekends, and holidays.
POSITION PURPOSE: Under general supervision, performs varied managerial support functions for the Department of Police \& Community Services;
The Social Media Aide supports the City’s communications and community engagement efforts by capturing photos and videos at City programs, activities, and events and developing engaging digital content for the City’s online platforms. This position assists with the creation, design, and publication of social media content—including posts, reels, stories, and graphics—while helping maintain an active, responsive, and informative presence across platforms such as Facebook, Instagram, Nextdoor, YouTube, and the City’s website.
The Social Media Aide monitors and responds to comments and messages in a timely and professional manner and assists with the timely execution of marketing, advertising, public relations, and social media initiatives that promote City services, programs, and events. The position also supports the preparation of visual and written communication materials by writing, proofreading, and editing content for web\-based and print applications.
In addition, the position performs computer\-aided graphic design and basic visual media production using tools such as Canva and Adobe Creative Suite (including InDesign and Illustrator) to create brochures, flyers, reports, and other promotional materials that support City communications and marketing efforts. Work is performed using City\-provided equipment including mobile devices, cameras, and computers, and requires knowledge of photography techniques, visual storytelling, and current social media practices.
SUPERVISION RECEIVED:
Media \& Communications Specialists I and II
SUPERVISION EXERCISED:
None.
A. Held in Common:
Supports the Mission of the City and its Elected and Appointed Officials.Provides courteous and timely service to the public as the ultimate employer.Works cooperatively with other City employees.Exhibits integrity and displays ethical behavior.
B. Essential Job Specific Duties: Photographs City activities, programs, services, and events for City social media and other publications; formats text, photos and graphics for City Publications, pamphlets, event programs, flyers, and social media posts, reels, and stories.Assists the Public Information Officer in the production of City publications; assists in coordinating the preparation of our draft articles reporting on community or special events, City activities, Council actions, and other topics of public interest.Administers the City’s social media accounts; develops content strategy for communicating the messages of the organization, special events, activities, programs, services, and issues; provides support for continued development of the City’s brand and marketing campaign; reviews and responds to public inquiries and comments on social media sites; monitors results of communications and marketing efforts and makes appropriate recommendations regarding dissemination of information.Sets up informational booths and tables at City events or business expos.Uses a digital camera to take video and photographs at City events, activities, services, and programs; selects, edits, and manipulates photographs and video files to enhance quality for electronic and print publication; selects appropriate video and photographs for design projects and catalogs and maintains digital photo and video files.Maintains files related to civic affairs, community events, and other information of interest to City residents and businesses; manages the City’s central photo/video file.Drafts announcements for community events or general information.Attends meetings, events, and conference store present the and/or record for the City.Confers with staff from various departments regarding design needs, graphics requirements and newly evolving presentation techniques.Develops graphics for products, programming, logos, website and other multimedia platforms for City departments and external clients.Prepares articles, advertisements, and other products to help promote the City; reviews and edits all City publications and Social Media before dissemination.Performs related duties as required.
REPRESENTATIVE COMPETENCIES AND QUALIFICATIONS:
Therequirementslistedbelow arerepresentativeoftheknowledge,skillandability required to satisfactorily perform the jobs essential duties and responsibilities.
Knowledge of:* Media production.
- Local government and city policies, programs, activities, services, and events.
- Principles of public administration,organization,policyevaluation,and communityrelations.
- Research and writing methods and techniques.
- Desktop publishing software applications.
- Professional photography techniques.
- Federal, state, and local laws, codes, and regulations.
- Copyright and Social Media laws.
- English usage, spelling, grammar, and punctuation.
- Modern office procedures and equipment including computers, photography equipment, and smart phones.
- Wordprocessing, graphic design,and other related software applications.
Ability to:
- Analyzeandinterpretlegislation,policies,andgovernmental regulations.
- Understand and follow oral and written directions.
- Implement effective social media program procedures.
- Develop social media posts, reels, stories and the like.
- Coordinatemarketing and social media campaign timelines.
- Attendspecialevents, programs, and activitiesafternormalworkinghours, onweekends and holidays on a regular basis.
- Provide information to the public in person, by telephone, on social media platforms, or through written correspondence where judgement, knowledge and interpretive skills may be required.
- Utilizepublicrelationstechniquesrespondingtoinquiriesand complaints.
- Workwithaccuracyandattentionto detail.
- Operateandusemodern office and communications/photography equipment.
- Effectivelyorganizeand prioritizeassigned work.
- AssistwiththeCity’sSocialMedia platforms.
- Establishandmaintaineffectiveworkingrelationshipswithother people.
EDUCATIONANDEXPERIENCE:
Thefollowingrequirementsgenerallydemonstratepossessionoftheminimumrequisite knowledge and ability necessary to perform the duties of the position. A typical way to obtain these would be:
- Graduation from high school or equivalent and completion of (1\) year of college coursework is required. Completion of college coursework in Communications, Public Relations, Journalism, Marketing, Graphic Design, Photography, Media Studies, or a related field is desirable.
OR
- One (1\) year of experience creating social media content, photography, graphic design, or digital communications for a school, organization, internship, volunteer program, or employer. Experience using social media platforms (such as Facebook, Instagram, YouTube, and Nextdoor) and graphic design software such as Canva or Adobe Creative Suite is desirable.
Preferred Qualifications
- Experience taking photographs and short videos at events, programs, and community activities.
- Experience creating engaging social media content including posts, graphics, reels, and stories.
- Knowledge of social media platforms and best practices for audience engagement and timely responses to comments or messages.
- Experience using graphic design software such as Canva and/or Adobe Creative Suite (InDesign, Illustrator, Photoshop).
- Familiarity with DSLR cameras, mobile photography techniques, lighting, and basic photo editing.
- A valid State of California driver’s license and an acceptable driving record.
WORKING CONDITIONS:
The work environment characteristics described are representative of those an employee encounters in performing the essential functions of this job.
- Work is performed indoors and outdoors.
- Noise level is quiet to loud.
Hazards are minimal.
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PHYSICAL DEMANDS:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable employees with disabilities to perform the essential duties.
- Sit for extended periods of time.
- Stand, walk, and bend for extended periods of time.
- Push, pull, and reach over head and above shoulders.
- Hear and speak both in person and on the telephone.
- Use hands and fingers to operate office equipment.
- See well enough to read documents and operate office equipment.
- Carry cameras and other equipment for extended periods of time.
Lift and move up to 25 pounds.
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NEPOTISM POLICY:
Relatives may be appointed regardless of the designation of full or part\-time classification. Candidates with relatives employed by the City will be excluded from applying for a vacancy if one or more of the following criteria exist: 1\) The appointment of a relative would place one in a supervisory capacity directly over the other 2\) The appointment would create a situation in which it is conceivable personal gain for one could be obtained by the actions of the other 3\) The appointment would create a situation where performance or non\-performance of either would have a direct effect upon the performance of the other 4\) The appointment would create a situation where the confidentiality of either could be compromised. Candidates with relatives employed by the City will be evaluated on a case\-by\-case basis. "Relative" shall be defined as: mother, father, son, daughter, brother, sister, grandmother, grandfather, grandchild, spouse, domestic partner, step mother, step\-father, step\-sister, step\-brother, stepchild and step grandchild.
HOW TO APPLY:
Applicants are required to complete and submit a City Application online New users must first create an account first.
METHOD OF SELECTION:
Selection may be based upon an application review, a performance examination and evaluation, and a structured interview. Appointment will be contingent upon a criminal record check and physical examination, including a drug screen.
ACCOMMODATION:
If you require special testing and/or interview accommodations due to a physical, mental, or learning disability, please call the Human Resources Office at (562\) 409\-7530 at least 5 days prior to the scheduled date.
Non\-Benefited
Closing Date/Time: 4/23/2026 5:00 PM Pacific
- ### City of Santa Fe Springs
- 562\-409\-7530
Santa Fe Springs is a unique City with a variety of services and amenities available to its residential and business communities. It is home to 3,000 businesses with an unmatched blend of businesses and residents. It is a planned community with 90% of its land designated for commercial and industrial use, making Santa Fe Springs a thriving industrial environment.
The City has nearly 100 acres of recreation space, 19 park sites, and miles of green belts and parkways, which provide a pleasant environment for its 18,000 residents and 95,000 business residents.
Santa Fe Springs is a service\-oriented community whose mission is to continually improve the quality of life in the City; foster public trust; provide a safe and aesthetically pleasing environment; encourage personal enrichment; serve the public in a responsive and courteous manner; and promote social harmony in all aspects of community life.
Salary Context
This $45K-$58K range is below the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →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 Santa Fe Springs, CA, 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. This role's midpoint ($52K) sits 69% below the category median. Disclosed range: $45K to $58K.
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.
Santa Fe Springs, CA AI Hiring
Santa Fe Springs, CA has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Santa Fe Springs, CA, US. Compensation range: $58K - $58K.
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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