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Batching Operator Jobs in Colorado (NOW HIRING)

AppFolio

Staff Machine Learning Engineer

Denver, CO · On-site

Has built and operated production ML infrastructure on AWS -- ECS, SageMaker, GPUs, autoscaling ... batching, and routing. * Provider breadth: Direct experience integrating with Google (Vertex ...

AppFolio

CO · On-site

Has built and operated production ML infrastructure on AWS -- ECS, SageMaker, GPUs, autoscaling ... batching, and routing. * Provider breadth: Direct experience integrating with Google (Vertex ...

United Fidelity Bank

Teller, Taskforce

Aurora, CO · On-site

$16.25 - $20.25/hr

Balance drawer daily, including periodic batching of transactions. * Perform all duties in relation ... Manual dexterity and coordination are required over 80% of the work period while operating ...

United Fidelity Bank

Teller, Taskforce

Aurora, CO · On-site

$16.25 - $20.25/hr

Balance drawer daily, including periodic batching of transactions. * Perform all duties in relation ... Manual dexterity and coordination are required over 80% of the work period while operating ...

VeroTouch Career Page

Print Team Technican

Salida, CO · On-site

$18 - $22/hr

... operating models. VeroTouch is early-stage, hands-on, and execution-driven. The people who thrive ... Support concrete batching plant operations by assisting with material loading, mixing preparation ...

Apply Early

Kodak Alaris, Inc.

Printing Supervisor

Windsor, CO · On-site

... mixing, solution batching, printing, quality control, and equipment readiness-while driving ... Lead teams to help identify problematic quality defects or machine operating conditions and ...

Earlytrade

Senior Full Stack Engineer

Denver, CO · On-site

Piers Symons, COO & Co-Founder About Earlytrade Earlytrade is a B2B fintech company built for the ... batching, and caching strategy * Strong working proficiency in TypeScript and the ability to ...

CRH

Mixer Truck Driver

Pueblo, CO · On-site

$22 - $26/hr

Backs truck under batching or loading hopper to receive concrete. * Climbs the ladder ... Acts as alternate plant operator, as needed. * Others duties as assigned. Qualifications To perform ...

CRH

Truck Driver CDL

Rifle, CO · On-site

$24 - $28/hr

Backs truck under batching or loading hopper to receive concrete. * Climbs the ladder ... Moves hand and foot controls and understands and follows hand signals while operating the truck.

CRH

Truck Driver

Delta, CO · On-site

$22 - $26/hr

Backs truck under batching or loading hopper to receive concrete. * Climbs the ladder ... Moves hand and foot controls and understands and follows hand signals while operating the truck.

CRH

Mixer Truck Driver

Durango, CO · On-site

$22 - $26/hr

Backs truck under batching or loading hopper to receive concrete. * Climbs the ladder ... Moves hand and foot controls and understands and follows hand signals while operating the truck.

CRH

Truck Driver CDL

Gypsum, CO · On-site

$30 - $35/hr

Backs truck under batching or loading hopper to receive concrete. * Climbs the ladder ... Moves hand and foot controls and understands and follows hand signals while operating the truck.

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Batching Operator information

See Colorado salary details

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How much do batching operator jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for batching operator in Colorado is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $22.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Batching Operator, and why are they important?

To thrive as a Batching Operator, you need a strong understanding of manufacturing processes, attention to detail, and typically a high school diploma or equivalent. Familiarity with batching equipment, computerized control systems, and safety protocols is important, and some roles may require forklift certification. Excellent teamwork, communication, and problem-solving skills help ensure smooth production and quick resolution of issues. These skills and qualities are essential for maintaining product quality, efficiency, and safety in a manufacturing environment.

How to become a batch plant operator?

To become a batching operator, candidates typically need a high school diploma or equivalent and gain experience operating batching or mixing equipment. Some employers prefer candidates with technical training or certifications in plant operations, and familiarity with safety protocols and quality control is important. On-the-job training is common, and strong attention to detail and mechanical skills are valuable assets in this role.

What are some common challenges faced by a Batching Operator, and how can they be managed effectively?

Batching Operators often encounter challenges such as maintaining precise measurements, managing multiple batches simultaneously, and troubleshooting equipment issues. Effective time management and strict adherence to standard operating procedures are essential for accuracy and efficiency. Additionally, strong communication with team members and supervisors helps address issues quickly, ensuring production schedules are met and product quality remains high.

What are Batching Operators?

Batching Operators are professionals responsible for weighing, measuring, and mixing raw materials according to specific formulas or recipes in manufacturing settings. They typically work in industries like food production, pharmaceuticals, chemicals, or construction materials. Their main role is to ensure that batches are prepared accurately and safely, following strict quality and safety standards. Batching Operators also monitor equipment, maintain records, and may troubleshoot issues with the batching process to ensure smooth operations.

What does a batch operator do?

A batching operator is responsible for operating equipment that combines raw materials or ingredients in specific quantities to produce a batch of product, often in manufacturing or processing plants. They monitor machinery, ensure quality control, and follow safety protocols, typically working with control panels and automation systems. Attention to detail and understanding of production processes are essential for this role.

What is the difference between Batching Operator vs Packaging Operator?

AspectBatching OperatorPackaging Operator
CredentialsHigh school diploma or equivalent; some roles may require technical certificationsHigh school diploma or equivalent; basic technical knowledge often preferred
Work EnvironmentFactories, manufacturing plants, chemical or food production facilitiesFactories, packaging lines, manufacturing plants
Industry UsageUsed in industries like chemicals, food, pharmaceuticals for preparing batchesUsed in industries like food, beverages, pharmaceuticals for packaging products
Job FocusPreparing and measuring raw materials for production batchesAssembling, sealing, and labeling packaged products

The main difference between a Batching Operator and a Packaging Operator lies in their roles within the production process. Batching Operators focus on preparing and measuring raw materials to create production batches, while Packaging Operators handle the final packaging, sealing, and labeling of products. Both roles are essential in manufacturing but serve distinct functions within the industry.

How much does a batch plant operator make?

A batch plant operator typically earns between $40,000 and $70,000 annually, depending on experience, location, and the complexity of the plant. The role often requires knowledge of concrete mixing, equipment operation, and safety protocols, with some positions offering overtime or shift differentials.

What jobs pay 4000 a week without a degree?

Batching operators typically do not earn $4,000 per week without specialized experience or overtime. High-paying jobs that can reach this level without a degree often include skilled trades such as commercial truck drivers, elevator installers, or certain sales roles, which may require certifications or licenses. These positions usually involve physical work, technical skills, or sales expertise rather than formal college degrees.
What are popular job titles related to Batching Operator jobs in Colorado? For Batching Operator jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Batching Operator jobs in Colorado look for? The top searched job categories for Batching Operator jobs in Colorado are:
What cities in Colorado are hiring for Batching Operator jobs? Cities in Colorado with the most Batching Operator job openings:
Batching Operator jobs near you
Staff Machine Learning Engineer

Staff Machine Learning Engineer

AppFolio

Denver, CO • On-site

Full-time

Posted yesterday

AppFolio rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

154th of 202 rated software companies

Job description

Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on — training, fine-tuning, inference, RAG, evaluation, and cost. You'll keep our AI cloud always-on, observable, and economical, while staying close enough to applications to influence model and agent design.
This role works at the intersection of ML infrastructure, applied AI, and cost discipline. You'll partner closely with our Voice & Agents and Research ML engineers to harden their prototypes into production systems, and help move forward the platform layer that lets Realm-X scale across AppFolio's entire customer base.
Your Impact
  • ML Platform: Design and operate AppFolio's ML infrastructure on AWS — ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls.
  • Drive AI Cost Discipline: Optimize cost across all AI applications — provider routing, caching, batch vs. real-time, model size selection, and inference economics.
  • Multi-Provider Reliability: Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible fallbacks and abstractions.
  • Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models, including data pipelines, GPU orchestration, and evaluation.
  • Productionize Research: Partner with Voice & Agents and Research ML engineers to harden their prototypes into production systems with SLOs, on-call rotations, and observability.
  • AI Safety & Guardrails: Operate AppFolio's AI safety and authorization layer — guardrails on AWS, scoped tool permissions, and human-in-the-loop gates for autonomous agent actions.
Qualifications
  • Systems thinker: You think in terms of platforms and long-term leverage, not just features.
  • Production builder: You've built and scaled ML infrastructure in production with meaningful business impact.
  • Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction.
  • Owner-operator: You take ownership with a founder/owner-operator mindset, act with urgency, and focus on outcomes.
  • Pace: You have a strong desire to move fast and deliver impact, while maintaining sound engineering judgment.
  • Collaboration: You are humble, collaborative, and low-ego, and you elevate those around you.
  • Sustainability: You value work-life balance as a foundation for sustained high performance.
  • Reliability mindset: You treat ML infra like any other production system — SLOs, on-call, observability, postmortems.
Must Have
  • ML infra at scale: Has built and operated production ML infrastructure on AWS — ECS, SageMaker, GPUs, autoscaling, and cost controls.
  • Inference platforms: Production experience with model serving for both LLMs and custom models; understands quantization, batching, and routing.
  • Provider breadth: Direct experience integrating with Google (Vertex / Gemini), OpenAI, and Anthropic APIs in production.
  • Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
  • Cloud-native engineering: Strong Python, Docker, dependency management, and CI/CD for AI workloads.
  • RAG & agents: Working knowledge of LangChain / LangGraph and modern RAG patterns over structured and unstructured data.
  • Cost optimization: Demonstrated experience reducing unit cost of AI workloads without regressing quality or latency.
  • AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems.
Nice to Have
  • Experience training Small Language Models for production use.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Prior Staff-level role at a company with a significant AI infra footprint.
  • Experience with ontology-driven systems or knowledge graphs supporting AI applications.
  • Contributions to open-source ML infrastructure or LLM tooling.
Location
Find out more about our locations by visiting our site. 
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: $200,000 - 250,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here.
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