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Open Ended Coding Jobs (NOW HIRING)

Geotab USA Inc

Lead Software Developer

Atlanta, GA · On-site +1

$152.13K - $194.20K/yr

Conduct quality assurance through comprehensive testing and code reviews to ensure adherence to ... Experience researching and solving open-ended design problems; and Experience defining strategic ...

Apple

Senior Systems Engineer, Watch Software

Cupertino, CA · On-site

$162.50K - $286.40K/yr

... open-ended problems. As a key engineer on this team, you will tackle a wide range of complex ... You will also dive into other teams' code to diagnose and resolve significant power issues, and ...

Idealforce

FoxPro Developer (38907)

Phoenix, AZ

Contract is open ended. Candidate will perform initial onsite discovery and consultation with the client. Duration will be determined after consultation/inspection. * Read and repair existing code ...

Cash App

Software Engineer, Cash App Banking

... code changes • Design and implement systems to work within our microservice and event-driven ... and an appetite in solving open-ended and ambiguous problems • Strong communication and ...

New

Cash App

Software Engineer, Cash App Banking

... code changes • Design and implement systems to work within our microservice and event-driven ... and an appetite in solving open-ended and ambiguous problems • Strong communication and ...

New

Cash App

Software Engineer, Cash App - Controls

... code review -- operating as the architect and decision-maker while AI handles the building • ... open-ended problems • Well-developed curiosity and initiative to build creative solutions to ...

New

Parallel Domain

Principal Technical Artist

Seattle, WA

$144.50K - $173K/yr

You reach for code rather than manual process whenever possible. * Production speed. Demonstrated ability to take open-ended content or workflow problems, scope them yourself, and ship working ...

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Open Ended Coding information

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$13

$33

$54

How much do open ended coding jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for open ended coding in the United States is $33.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $39.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Open-Ended Coding professional, and why are they important?

To thrive in open-ended coding roles, you need strong programming skills, problem-solving abilities, and a solid understanding of computer science fundamentals, often demonstrated by a degree or relevant experience. Familiarity with popular programming languages (such as Python, Java, or C++), version control systems like Git, and collaborative platforms like GitHub is typically required. Creativity, adaptability, and effective communication are crucial soft skills for translating ambiguous requirements into functional solutions. These competencies enable professionals to tackle complex, undefined problems and deliver innovative, high-quality code in dynamic environments.

What are some common challenges faced in open-ended coding roles, and how can they be addressed?

Open-ended coding roles often involve tackling problems without clear requirements or predefined solutions, which can be both exciting and challenging. Job seekers should be prepared to navigate ambiguity, communicate frequently with stakeholders to clarify objectives, and iterate on solutions based on feedback. Success in these roles typically depends on strong problem-solving skills, adaptability, and a collaborative mindset, as you'll often work with cross-functional teams to refine and implement innovative ideas. Proactively seeking feedback and breaking larger tasks into manageable milestones can help ensure steady progress and alignment with project goals.

What is open ended coding?

Open ended coding refers to a programming approach or assessment where there is no single correct answer, and solutions can be implemented in various ways. This method is commonly used in coding interviews, project-based learning, and research to evaluate creativity, problem-solving skills, and the ability to write functional code. Open ended coding encourages developers to think critically and come up with innovative solutions, making it a valuable exercise for both learners and professionals.

What is the difference between Open Ended Coding vs Medical Coder?

AspectOpen Ended CodingMedical Coder
CredentialsCertification not always required, but coding certifications like CPC are commonTypically requires certification (e.g., CPC, CCS)
Work EnvironmentHealthcare facilities, insurance companies, remote optionsHospitals, clinics, insurance companies, often in office settings
Industry UsageUsed across various healthcare settings for diverse coding tasksPrimarily in medical billing and coding departments
Comparison FocusOpen Ended Coding involves flexible, detailed coding for complex casesMedical Coder focuses on assigning standardized codes for billing and documentation

Open Ended Coding and Medical Coder roles both involve medical coding but differ in scope and complexity. Open Ended Coding often requires a broader understanding of medical records and more flexible coding skills, while Medical Coders focus on standardized coding for billing purposes. Both roles are essential in healthcare, with overlapping credentials and work environments.

What states have the most Open Ended Coding jobs? States with the most job openings for Open Ended Coding jobs include:
What job categories do people searching Open Ended Coding jobs look for? The top searched job categories for Open Ended Coding jobs are:
Open Ended Coding jobs near you
Research Scientist / Engineer, Foundation Model Evaluation

Research Scientist / Engineer, Foundation Model Evaluation

Apple

Cupertino, CA • On-site

Full-time

Posted 10 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.
This is a hands-on role focused on the models that power Apple products used daily by over abillion people. You will design evaluation systems where the outcome is not just a score, but anactionable signal - one that drives model improvement and predicts real user experience.Working alongside model training and product teams, you will close the loop between evaluationand improvement.Our work spans three areas:• Frontier capability assessment: benchmarking against the state of the art in reasoning,code, knowledge, and agentic workflows• Product-aligned evaluation: measuring model quality in ways that reflect real userexperience• Evaluation-to-training integration: feeding actionable insights back into the modeldevelopment cycleYou may focus on one area or work across multiple, depending on your background andinterests.We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.
3+ years of experience in AI model evaluation, NLP, or a related area (e.g., natural language generation, information retrieval, or conversational AI)Strong fundamentals in machine learning, natural language processing, and statistical analysisProficiency in Python and experience with ML frameworks (PyTorch, JAX, or equivalent)Demonstrated ability to translate research insights into practical implementationsStrong experimental design skills: ability to design rigorous comparisons and draw valid conclusions from resultsClear technical communication: ability to distill evaluation results into actionable recommendations for cross-functional partnersMS or PhD in Computer Science, Machine Learning, Natural Language Processing or a related technical field. Equivalent practical experience will be considered.
PhD in Computer Science, Machine Learning, NLP, or a related fieldDirect experience evaluating large language models, e.g. benchmark design, model-based judgingTrack record of collaborating with model training and data teams to turn evaluation findings into training improvementsExperience building reusable evaluation tooling or analysis frameworks adopted across teamsFamiliarity with human evaluation methodology and experience partnering with annotation teams or vendors to assess model quality

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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