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Poetry Editor Jobs (NOW HIRING)

Creative nonfiction, new media, and/or poetry are also an asset. * Experience publishing/producing ... editing; teaching; community organizing; and publishing and producing events and works in the ...

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Poetry Editor information

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$11

$31

$57

How much do poetry editor jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for poetry editor in the United States is $31.60, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $39.66 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Poetry Editor position, and why are they important?

To thrive as a Poetry Editor, you need a deep understanding of poetic forms, strong editorial judgment, and often a degree in English, Creative Writing, or a related field. Familiarity with publishing platforms, content management systems, and editing tools such as Microsoft Word or Google Docs is usually necessary. Exceptional communication, attention to detail, and the ability to nurture creative talent are standout soft skills in this role. These abilities are vital to ensure the quality and originality of published poetry, and to foster productive relationships with poets and literary contributors.

What is a Poetry Editor job?

A Poetry Editor is responsible for selecting, reviewing, and refining poetry submissions for publication in literary magazines, anthologies, or publishing houses. They evaluate whether poems align with the publication's vision, provide constructive feedback to poets, and ensure high editorial standards. Poetry Editors may also manage submissions, work with other editorial staff, and curate thematic collections. Their role requires a deep understanding of poetic techniques, styles, and contemporary literary trends.

What are the main challenges faced by Poetry Editors in their daily work?

Poetry Editors often navigate the challenge of balancing artistic integrity with the preferences of their publication and audience, thoughtfully selecting works that fit their editorial vision. They regularly work with poets to refine submissions, which requires giving nuanced feedback while respecting the writer's voice. Meeting tight publishing deadlines and staying current with literary trends can also be demanding. Despite these challenges, the role offers creative collaboration and the satisfaction of championing emerging and established voices in the poetry community.

More about Poetry Editor jobs
What cities are hiring for Poetry Editor jobs? Cities with the most Poetry Editor job openings:
What are the most commonly searched types of Poetry Editor jobs? The most popular types of Poetry Editor jobs are:
What states have the most Poetry Editor jobs? States with the most job openings for Poetry Editor jobs include:
Infographic showing various Poetry Editor job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 74% Full Time, 17% Part Time, 4% Temporary, and 4% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $65,728 per year, or $31.6 per hour.
Data Engineer (AI & LLM Expertise)

Data Engineer (AI & LLM Expertise)

Pyramid Consulting, Inc

Plano, TX • On-site

$110K - $132K/yr

Full-time

Posted 18 days ago


Job description

Job Summary:
Pyramid Consulting, Inc. is seeking a talented Data Engineer with expertise in AI and LLM for a contract position. The role involves maintaining and enhancing data models, supporting scheduling changes, and developing Python code for ETL processes related to AI/ML projects.
Responsibilities:
• Maintain and enhance dbt models across staging (DL2) and mart (DL3) layers.
• Monitor and triage dbt Cloud job failures, diagnosing root causes using run logs.
• Support Control-M scheduling changes and DBT deployments.
• Update dev_env.tfvars / Terraform configs for dbt Cloud environment and credential changes.
• Write and maintain SQL models following SQLFluff lint standards (ruff, mypy for Python).
• Manage source freshness and data quality test failures.
• Contribute to GitLab MR reviews and follow CI/CD pipeline (Slim CI ? CD ? Prod deployment via migration tags).
• Submit and track Client (SNOW) requests for Client access, service accounts, and infra changes.
• Apply knowledge of LLM architecture and principles (e.g., tokenization, embeddings) to data preparation and feature engineering for AI/ML projects.
• Develop and maintain robust Python code for ETL processes, with an understanding of how data is processed by LLMs.
• Assist in evaluating and optimizing LLM outputs, considering factors like token limits and response relevance.
• Document AI/ML data pipelines, including explanations of tokenization strategies and data transformations relevant to LLM processing.
Qualifications:
Required:
• Data Engineer
• Snowflake SQL
• DBT
• Git
• Github Copilot
• AI
• SQL (Client dialect), dbt Core/Cloud basics.
• Basic Python (scripting, pytest), with a strong understanding of its application in data pipelines and AI/ML.
• Git / GitLab branching and MR workflows.
• Familiarity with Terraform (reading/editing .tfvars).
• Understanding of incremental models, source freshness, and dbt state: selectors.
• Control-M scheduling concepts.
• Client warehousing (sizing, multi-clustering).
• dbt Cloud CLI, Poetry.
• Github Copilot, Claude Code.
• Foundational understanding of how LLMs work, including concepts like tokenization, embeddings, and context windows.
• Practical experience or strong theoretical knowledge of applying AI/LLMs to data processing tasks.
• Ability to understand and work with unstructured and semi-structured data for AI applications.
• Familiarity with prompt engineering principles for interacting with LLMs.
• Strong analytical and problem-solving skills, with a proactive approach to learning new AI technologies.
• US military Background is required.
• Experience with vector databases and embedding pipelines.
• Familiarity with MLOps principles and tools.
• Exposure to cloud platforms (AWS, GCP, Azure).
• Experience in building and optimizing data pipelines for AI workloads.
• Understanding of AI model deployment and monitoring.
Company:
Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets. Founded in 1996, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.