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Code Typing Jobs (NOW HIRING)

Strong Python fundamentals (clean code, typing hygiene, debugging ability). * Comfortable with HTTP APIs, JSON, auth patterns, and database-backed systems. * Strong interest in GenAI / prompt ...

Editor-Code

Rochester, NY · On-site

$40K - $42K/yr

ICC Codes, Standards, and solutions are used to ensure safe, affordable, and sustainable ... Manual dexterity for typing, filing, and handling office equipment * Ability to lift and carry up ...

ICC Codes, Standards, and solutions are used to ensure safe, affordable, and sustainable ... Manual dexterity for typing, filing, and handling office equipment * Ability to lift and carry up ...

Editor-Code

Rochester, NY · On-site

$40K - $42K/yr

ICC Codes, Standards, and solutions are used to ensure safe, affordable, and sustainable ... Manual dexterity for typing, filing, and handling office equipment * Ability to lift and carry up ...

Office Technician (Typing)

Wasco, CA · On-site

$3.8K - $4.9K/mo

Duty Statement Position Details Job Code #: JC-528582 Position #(s): 180-000-1139-XXX Working Title: Office Technician (Typing) Classification: OFFICE TECHNICIAN (TYPING) $3,829.00 - $4,936.00 New to ...

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Code Typing information

See salary details

$51.5K

$73.6K

$93.5K

How much do code typing jobs pay per year?

As of Aug 31, 2026, the average yearly pay for code typing in the United States is $73,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $80,000.00 per year, depending on experience, location, and employer.

What is code typing?

A Code Typing job involves accurately entering or transcribing code, such as programming scripts or markup languages, based on given instructions. This role requires strong typing skills, attention to detail, and familiarity with coding syntax. Code typists may work on tasks like formatting, debugging simple errors, or converting handwritten notes into digital code. While it doesn't always require programming expertise, understanding basic coding structures is beneficial.

What does a typical day look like for someone working in code typing?

A typical day in Code Typing involves entering, reviewing, and verifying codes or data into specialized computer systems, often working from detailed instructions or source documents. You may spend the majority of your time at a computer, either independently or as part of a larger data management or administrative team. Tasks often include prioritizing assignments, checking for accuracy, and collaborating with supervisors or other departments if any discrepancies arise. The role can be fast-paced during peak periods, requiring focus and precision, but offers a clear structure for those who enjoy detail-oriented work. Over time, gaining experience in various industries can open up opportunities for advancement into supervisory or specialized coding roles.

What are the key skills and qualifications needed to thrive in code typing, and why are they important?

To thrive in a Code Typing role, strong typing skills, attention to detail, and basic computer literacy are essential, often backed by experience with data entry and coding systems. Familiarity with tools such as data entry software, spreadsheets, and, in some cases, industry-specific coding platforms (like ICD-10 for medical coding) may be required. Reliability, accuracy, effective time management, and the ability to work independently or as part of a team are important soft skills. These abilities ensure efficiency and prevent errors in high-volume coding or data entry environments, directly impacting organizational productivity and data integrity.

More about Code Typing jobs
Infographic showing various Code Typing job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $73,557 per year, or $35.4 per hour.

Information Technology_USA - USA_Developer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees

Contractor

Re-posted 29 days ago


Job description

2 Candidate Submittal Slots, New High Level PolicyBill Rate - MSP Owner: Rob FintonLocation: Chicago , IL (Remote or Hybrid)Duration: 6 monthsGBaMS ReqID: 10895010Competencies: 8-10+ years experience requiredDigital : Microsoft AzureDigital : PythonDigital : DevOps Continuous Integration and Continuous Delivery (CI/CD)Digital : SnowflakeGenerative AI, AI AgentsROLE: Senior Python / GenAI Engineer (2 positions, onshore)WHAT THEY WILL WORK ON- Building and extending LLM-powered agents in Python: intent classification, domain-specialist agents, and agentic extraction flows that decompose multi-part user questions- Natural-language-to-structured-payload pipelines: parsing user utterances into JSON query payloads (filters, exclusions, rankings, metric selection) with high precision- Integrating semantic search / vector retrieval services (embedding-based entity resolution, fuzzy matching, confidence thresholds, disambiguation flows)- Building and consuming FastAPI microservices; async orchestration of parallel LLM and API calls- Prompt engineering, structured output enforcement (JSON schema / function calling / tool use), and guardrails- Evaluation harnesses: building test sets, measuring extraction accuracy, regression-testing prompt and model changes- Working with metadata/catalog services, entitlement-aware data access, and reporting-engine payload contracts- Collaborating across multiple service teams; writing clear technical documentation (Confluence, ADRs, sequence/flow diagrams)MUST-HAVE SKILLS- 5+ years of professional Python - advanced level; clean, tested, production-grade code (typing, pytest, packaging, code review discipline)- 1.5+ years hands-on building GenAI/LLM applications in production (not POCs only): OpenAI / Anthropic / Azure OpenAI / Bedrock or similar APIs- Agentic frameworks and patterns: LangChain/LangGraph, LlamaIndex, or equivalent hand-rolled orchestration; tool/function calling; multi-step agent flows- Structured output extraction from LLMs: JSON schema enforcement, Pydantic, retry/repair strategies- RAG and vector search: embeddings, chunking strategies, hybrid search, reranking (any of pgvector, Pinecone, Weaviate, OpenSearch, or warehouse-native vector functions)- FastAPI (or Flask/Django with strong API design), async Python, REST integration patterns- SQL proficiency and comfort working against large analytical datasets- Git, CI/CD, Docker; comfortable in cloud environments (Azure preferred; AWS/GCP acceptable)- Strong communication - these roles interact directly with multiple engineering teams and product ownersNICE-TO-HAVE- Snowflake (especially Cortex functions / Snowpark)- Experience with NL2SQL or NL-to-query-DSL systems- Retail / CPG / market-measurement data domain exposure- MCP (Model Context Protocol) or similar tool-integration standards- LLM evaluation tooling (Ragas, promptfoo, custom eval harnesses); observability (LangSmith, Langfuse)- Prior experience in multi-agent systems with disambiguation/human-in-the-loop flows