ZipRecruiter

Log In

2

Entry Level Risk Adjustment Coder Jobs in San Jose, CA

OKX

Staff Machine Learning Engineer

San Jose, CA · Remote

... adjustment, account restriction, and other risk mitigation actions. * Work closely with risk ... Apply AI-assisted development throughout the engineering workflow, using LLM coding tools to ...

Ascend

Administrative Coordinator

San Francisco, CA · On-site

$25 - $28/hr

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Ascend

Administrative Coordinator

San Francisco, CA

$22 - $25/hr

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Ascend

Administrative Coordinator

San Jose, CA

$23 - $25/hr

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Ascend

Administrative Coordinator

San Mateo, CA

$26 - $29/hr

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Ascend

Property Assistant

San Jose, CA

$60K - $65K/yr

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Ascend

Administrative Coordinator

San Francisco, CA

$22 - $25/hr

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Ascend

Property Assistant

San Jose, CA

$29 - $30/hr

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Ascend

Property Administrator

San Francisco, CA

$60K - $65K/yr

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Ascend

Administrative Coordinator

Oakland, CA

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Ascend

Administrative Coordinator

Hayward, CA

$29 - $32/hr

... risk management personnel. * Codes and splits invoices based on cost centers and services performed * Prepares bill backs/re-bills for special tenant requests * Prepare manual adjustment forms for ...

Aston Carter

Buyer

Morgan Hill, CA

$35 - $40/hr

Identifies risk parts and escalates to management Due Diligence * Execute MRP actions consistent ... If you would like to request a reasonable accommodation, such as the modification or adjustment of ...

previous pagenext page

Showing results 21-40

All JobsRisk Adjustment Coder JobsEntry Level Risk Adjustment Coder JobsEntry Level Risk Adjustment Coder Jobs in San Jose, CA

Entry Level Risk Adjustment Coder information

See San Jose, CA salary details

$18

$32

$50

How much do entry level risk adjustment coder jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for entry level risk adjustment coder in San Jose, CA is $32.22, according to ZipRecruiter salary data. Most workers in this role earn between $22.26 and $40.58 per hour, depending on experience, location, and employer.

What is an entry level risk adjustment coder?

An Entry Level Risk Adjustment Coder reviews medical records to identify and assign accurate diagnosis codes for risk adjustment purposes. Their work ensures healthcare organizations receive appropriate reimbursement based on patient health conditions. They typically use ICD-10-CM codes and follow guidelines from CMS and other regulatory bodies. This role requires strong attention to detail, knowledge of medical terminology, and an understanding of risk adjustment models. Entry-level coders may work in various healthcare settings, including insurance companies, hospitals, or coding firms.

What are the key skills and qualifications needed to thrive as an entry level risk adjustment coder?

To thrive as an Entry Level Risk Adjustment Coder, you need a strong understanding of medical terminology, anatomy, and ICD-10-CM coding guidelines, typically supported by completion of a coding training program or relevant coursework. Familiarity with coding software, electronic medical records (EMR) systems, and coding certification such as CPC or CRC is often preferred. Attention to detail, analytical thinking, and effective communication are essential soft skills for this role. These skills and qualifications ensure the accurate coding of diagnoses for risk adjustment, compliance with regulations, and contribute to optimal healthcare reimbursement.

What does an entry level risk adjustment coder do?

A typical day for an entry level risk adjustment coder involves reviewing patient medical records to identify and assign appropriate diagnostic codes based on clinical documentation. You’ll use specialized coding software and electronic health record systems to ensure accuracy and compliance with federal guidelines. Collaboration with senior coders, team leads, and occasionally clinicians is common when clarification or additional documentation is needed. Most entry level coders work in an office or remote environment and spend much of their day analyzing records, updating databases, and participating in training sessions to stay current on coding updates.

What are the most commonly searched types of Risk Adjustment Coder jobs in San Jose, CA? The most popular types of Risk Adjustment Coder jobs in San Jose, CA are:
What are popular job titles related to Entry Level Risk Adjustment Coder jobs in San Jose, CA? For Entry Level Risk Adjustment Coder jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Risk Adjustment Coder jobs in San Jose, CA look for? The top searched job categories for Entry Level Risk Adjustment Coder jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Entry Level Risk Adjustment Coder jobs? Cities near San Jose, CA with the most Entry Level Risk Adjustment Coder job openings:
Entry Level Risk Adjustment Coder jobs near you
Infographic showing various Entry Level Risk Adjustment Coder job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $67,017 per year, or $32.2 per hour.

Staff Machine Learning Engineer

OKX

San Jose, CA • Remote

Full-time

Posted 22 days ago

Job description

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. 

Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About The Opportunity
Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence, identity information, and customer interactions-signals that very few organizations can analyze together.
The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud patterns, scams, account takeovers, payment abuse, and other forms of financial risk while minimizing disruption to legitimate customers. Success is not measured only through offline model metrics. It is measured through prevented losses, improved approval rates, reduced false positives, faster investigations, and more reliable customer experiences.
This role sits within a multidisciplinary risk team of machine learning engineers, data scientists, risk strategy specialists, analytics engineers, product managers, and operations teams. You will work across the full ML lifecycle-from problem formulation, feature engineering, and model development to real-time deployment, monitoring, experimentation, and continuous iteration.
You will also help shape how AI is used across the risk organization. LLM-assisted development, automated model workflows, AI-powered investigations, and intelligent review agents are part of the team's daily work. We are looking for engineers who already use these tools effectively and can help establish safe, scalable, and production-ready AI practices.
 
What You'll Be Doing
  • Design, build, and deploy machine learning models for risk use cases such as payment fraud, account takeover, scam detection, deposit and withdrawal risk, promotional abuse, customer risk assessment, and transaction monitoring.
  • Own production ML systems end to end, including feature pipelines, training workflows, model serving, decision integrations, monitoring, alerting, drift detection, retraining, and incident response.
  • Partner with risk strategy and product teams to translate models into effective production controls, including approval, rejection, review, cooldown, limit adjustment, account restriction, and other risk mitigation actions.
  • Work closely with risk operations teams to understand investigation workflows, incorporate reviewer feedback, improve model explainability, and continuously refine labels and training data.
  • Apply AI-assisted development throughout the engineering workflow, using LLM coding tools to accelerate implementation, testing, debugging, analysis, and documentation while maintaining appropriate security and review standards.
  • Develop AI-powered risk capabilities such as investigation agents, case summarization, evidence collection, review recommendations, alert triage, suspicious-entity mining, and automated decision support.
  • Take research-stage models into reliable production systems by validating feature logic, reviewing data quality, addressing latency and scalability constraints, and ensuring consistency between offline training and online inference.
  • Ensure models and decision systems are explainable, traceable, and well documented so that model outputs can be understood by risk operations, product stakeholders, internal governance teams, and regulators where applicable.
  • Design, build, and deploy LLM-based agents for risk operations and investigation workflows, including case triage, evidence retrieval, transaction analysis, alert summarization, review recommendations, and automated action orchestration.
  • Develop production-grade agent architectures using tool calling, retrieval-augmented generation, workflow orchestration, structured outputs, memory, guardrails, and human-in-the-loop controls.
  • Build evaluation frameworks for LLM agents, measuring factual accuracy, task completion, decision consistency, latency, cost, reviewer acceptance, and operational impact. Ensure LLM agents operate safely in a regulated risk environment by implementing permission controls, audit logs, data privacy protections, prompt and tool security, fallback mechanisms, and clear escalation paths.
What We Look For in You
  • Significant professional experience in machine learning engineering, applied data science, or a closely related field, with a strong record of taking models from prototype to production. Scope and level will be calibrated based on experience.
  • Strong Python skills and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, XGBoost, LightGBM, or scikit-learn.
  • Strong knowledge of applied machine learning fundamentals, including supervised learning, anomaly detection, representation learning, class-imbalanced modeling, model calibration, and evaluation under changing data distributions.
  • Demonstrable fluency with AI-assisted engineering. You regularly use LLM coding tools, have built AI-integrated workflows or applications, and understand both the productivity benefits and the security, reliability, and governance risks.
  • Familiarity with model explainability techniques such as SHAP, feature attribution, reason-code generation, and model scorecards.
  • Hands-on experience designing and deploying production LLM agents, including agentic workflows, tool calling, retrieval-augmented generation, prompt and context management, structured output generation, and multi-step task orchestration.
  • Experience integrating LLM agents with internal systems, APIs, databases, search tools, case-management platforms, or decision engines to automate complex operational workflows.
  • A strong understanding of LLM-agent evaluation and reliability, including hallucination control, grounding, observability, permissions, failure handling, human review, latency, and cost optimization.
  • Experience building AI agents for fraud, risk, compliance, customer operations, cybersecurity, or other high-stakes domains is a meaningful advantage.
  • Strong communication and collaboration skills, with the ability to work effectively with engineers, data scientists, risk specialists, product managers, operations teams, and legal or compliance stakeholders.
OKX Statement
The base salary range for this position is $214,666 to $321,999. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
 
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Apply