ZipRecruiter

Log In

2

Remote Coding Paid Training Jobs in Iowa (NOW HIRING)

AmeriSave Mortgage

Mortgage Loan Officer - Remote

Nevada, IA · Remote

$50K - $200K/yr

... paid training, licensing maintenance and career advancement opportunities What You'll Do: Engage ... Remote work applicants may not work from the following states: California. Why AmeriSave: As one of ...

next page

Showing results 1-20

People also search for

All JobsRemote Coding Paid Training JobsRemote Coding Paid Training Jobs in Iowa

Remote Coding Paid Training information

What are the key skills and qualifications needed to thrive in a Remote Coding Paid Training program, and why are they important?

To thrive in a Remote Coding Paid Training program, you need a foundational understanding of programming concepts, problem-solving abilities, and a high school diploma or equivalent. Familiarity with web-based learning platforms, basic coding environments (such as Visual Studio Code), and possibly introductory certifications like Codecademy or Coursera certificates are helpful. Self-motivation, time management, and strong communication skills help trainees excel in remote, self-paced learning environments. These skills are critical for effective learning, adapting to virtual collaboration, and successfully transitioning into entry-level coding roles.

What can I expect from the daily structure and support during a remote coding paid training program?

During a remote coding paid training program, participants typically follow a structured schedule that includes live virtual lessons, self-paced assignments, and regular check-ins with mentors or instructors. You can expect collaborative projects with fellow trainees, frequent code reviews, and opportunities to ask questions in real time. Support is usually available through forums, chat platforms, and scheduled one-on-one sessions, helping ensure you stay on track and address any challenges. This environment is designed to closely simulate real-world remote work, fostering both technical skills and effective communication.

What is remote coding paid training?

Remote coding paid training refers to online programs that teach individuals medical coding skills while compensating them during the training period. These programs are designed to prepare participants for certification and entry-level coding jobs in healthcare, all from the comfort of their own home. Trainees typically learn how to assign standardized codes to diagnoses and procedures for billing and insurance purposes. Paid training can be offered by healthcare employers, staffing agencies, or specialized training providers, and may include both classroom instruction and practical experience.
What are popular job titles related to Remote Coding Paid Training jobs in Iowa? For Remote Coding Paid Training jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Coding Paid Training jobs in Iowa look for? The top searched job categories for Remote Coding Paid Training jobs in Iowa are:
What cities in Iowa are hiring for Remote Coding Paid Training jobs? Cities in Iowa with the most Remote Coding Paid Training job openings:
Remote Coding Paid Training jobs near you
Infographic showing various Remote Coding Paid Training job openings in Iowa as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.
Experimentation Analyst - AI Trainer

Experimentation Analyst - AI Trainer

DataAnnotation

Nevada, IA • On-site, Remote

$60/hr

Full-time

Posted 16 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

Apply