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Remote Python Developer Graduate Jobs in New York, NY

As a Software Engineering evaluator, you will create cutting-edge datasets for training ... This includes curating code examples, providing precise solutions, and making corrections in Python ...

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python ... Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other ...

Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. * Hypothesize on steps in the software engineering cycle (prototyping ...

Python, SQL, Spark, Snowflake, dbt, Airflow, AWS/Azure data pipelines What you'll do * Design and ... data engineering with strong Python and SQL * Hands-on Spark, Snowflake, and dbt experience

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Remote Python Developer Graduate information

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$14

$64

$94

How much do remote python developer graduate jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for remote python developer graduate in New York, NY is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a remote Python developer graduate?

A Remote Python Developer Graduate is an entry-level software developer who specializes in programming with Python and works remotely, often from home or another location outside a traditional office. These graduates typically have recently completed a degree or coursework in computer science or a related field and are beginning their careers in software development. Their responsibilities usually include writing and testing Python code, collaborating with teams online, fixing bugs, and learning new technologies and best practices. Remote work enables them to contribute to projects from anywhere, requiring good communication and self-management skills.

What are the key skills and qualifications needed to thrive as a remote Python developer graduate?

To thrive as a Remote Python Developer Graduate, you need a solid understanding of Python programming, basic software engineering principles, and ideally a relevant degree or certification. Familiarity with version control systems like Git, development environments such as PyCharm or VS Code, and frameworks like Django or Flask is typically expected. Strong problem-solving skills, self-motivation, and effective written communication are crucial soft skills for remote collaboration. These skills ensure the ability to deliver high-quality code independently, adapt to remote team workflows, and contribute effectively to software projects.

What are the common challenges faced by remote Python developer graduates when starting their careers, and how can they overcome them?

As a Remote Python Developer Graduate, you may encounter challenges such as effective communication across different time zones, managing your workload independently, and bridging the gap between academic knowledge and real-world coding practices. To overcome these, it’s important to proactively participate in team meetings, regularly seek feedback from mentors, and leverage collaborative tools like version control and project management software. Additionally, dedicating time to continuous learning and real-world coding exercises can help you quickly adapt to industry standards and expectations.

What is the difference between Remote Python Developer Graduate vs Remote Data Analyst Graduate?

AspectRemote Python Developer GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's in Computer Science or related field, basic programming skillsBachelor's in Statistics, Mathematics, or related field, data analysis skills
Work EnvironmentTech companies, startups, software development teamsBusiness, finance, marketing departments, data-driven organizations
Industry UsageSoftware development, tech industry, IT servicesFinance, marketing, consulting, healthcare
Common Search/ComparisonYesYes

Remote Python Developer Graduates typically focus on coding, software development, and programming in Python, often working in tech companies. Remote Data Analyst Graduates analyze data, create reports, and support decision-making in various industries. While both roles require analytical skills and a bachelor's degree, Python developers emphasize coding skills, whereas data analysts focus on data interpretation. The choice depends on your interest in programming versus data analysis.

What are popular job titles related to Remote Python Developer Graduate jobs in New York, NY?

For Remote Python Developer Graduate jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Remote Python Developer Graduate jobs in New York, NY look for?

The top searched job categories for Remote Python Developer Graduate jobs in New York, NY are:

What cities near New York, NY are hiring for Remote Python Developer Graduate jobs?

Cities near New York, NY with the most Remote Python Developer Graduate job openings:

Machine Learning Engineer - Remote

New York, NY • Remote

Full-time

Posted 15 days ago


Job description

Machine Learning Engineer

Role Type: Contractor
Location: Remote

About the Role

We are looking for skilled Machine Learning Engineers to support AI training and evaluation projects. You'll use Python, machine learning, and data expertise to develop, evaluate, and improve ML solutions.

Key Responsibilities
  • Develop and refine machine learning models using Python.
  • Analyze and manage datasets using MongoDB.
  • Evaluate models, tune performance, and benchmark results.
  • Build data preprocessing and ML workflows.
  • Identify opportunities to improve model performance.
  • Document experiments, methodologies, and results.
Required Skills
  • Python
  • Machine Learning
  • MongoDB
  • Data Analysis & Preprocessing
  • Model Evaluation
  • Feature Engineering
Preferred Qualifications
  • Strong experience with Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Hands-on MongoDB experience in ML or data projects.
  • Strong problem-solving and analytical skills.
  • Understanding of ML evaluation metrics and data modeling.
  • Experience deploying ML models in cloud or enterprise environments.
  • Strong technical documentation and communication skills.