Python Data Analyst Remote Jobs with U.S. Companies

Join us at the forefront of technological innovation! Discover remote Python data analyst jobs in Generative AI (GenAI) & Large Language Models (LLMs) with prominent U.S. tech companies. 

Work remotely, earn in USD, and contribute to cutting-edge projects. We're seeking Python data analysts passionate about data mining, analysis, and visualization, with expertise in Gen AI and LLMs.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Develop Python scripts tailored for data analysis and visualization.
  • Ensure the accuracy and functionality of Python code through rigorous testing and debugging, particularly in LLM applications.
  • Create and validate algorithms using Python.
  • Utilize Python libraries to visualize content and generate insightful reports.
  • Stay updated on Python, LLM, and Gen AI advancements through ongoing training and research.
  • Deploy and maintain Python solutions for LLM applications, promptly addressing issues.
  • Keep abreast of advancements in generative AI, such as LLMs, GPTs, GANs, VAEs, and related techniques. 
  • Evaluate large datasets for quality, accuracy, and perform advanced data analysis.

Minimum requirements

  • Bachelor's/Master's degree in computer science or equivalent experience.
  • 3+ years of professional experience in software development, focusing on Python.
  • Demonstrated expertise in designing and implementing generative models with deep learning frameworks like TensorFlow and PyTorch.
  • Proficiency in Python for developing and optimizing data analysis solutions.
  • Hands-on experience with machine learning libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
  • Understanding of NLP concepts for working with Large Language Models.
  • Familiarity with Generative AI techniques for creating new data samples, such as GANs (Generative Adversarial Networks) or VAEs (Variational Autoencoders).

Preferred skills

  • Strong analytical and problem-solving abilities.
  • Knowledge of statistical methods and techniques.
  • Familiarity with front-end technologies like JavaScript, HTML5, and CSS3.
  • Familiarity with working with LangChain, Data Science and SQL .
  • Experience working with RestfulAPIs and vector databases.
  • Basic exposure to object-relational mapper (ORM) libraries.
  • Previous experience working on projects involving LLMs.
  • Experience with fine-tuning pre-trained models such as GPT and BERT for specific data analysis tasks.
  • Proficiency in handling large-scale datasets for training and analysis in LLM applications.
  • Full-time availability with a 4-hour overlap with U.S. time zones.

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How to become a successful Python data analyst ?

Becoming a Python data analyst typically requires a bachelor's degree in computer science, data science, or a related field, although equivalent experience may suffice for some employers. Proficiency in Python coding is essential, including familiarity with libraries such as Pandas and NumPy. 

Candidates should also have practical experience working with data sets and Python scripting, demonstrating the ability to collect, clean, analyze, and interpret data. Knowledge of database languages like SQL is important for querying and manipulating data stored in relational database management systems. 

Gain a basic understanding of LLMs such as GPT (Generative Pre-trained Transformer) models. Also, develop expertise in deep learning frameworks like TensorFlow and PyTorch, widely used for building and training Generative AI models and LLMs. 

Expanding on this, it's essential to create a concise and detailed Python developer resume. A well-crafted resume can significantly impact your chances of securing interviews and ultimately landing your desired role in the field of data analysis.

What is the scope of Python data analyst remote jobs?

The future prospects for Python data analysts specializing in LLMs  are exceptionally bright, driven by rapid advancements in NLP and the expanding applications of LLMs across various industries. With the increasing demand for professionals capable of handling and analyzing large volumes of textual data, there is a significant opportunity for individuals skilled in Python programming and NLP techniques.

Moreover, the rise of remote work culture has further widened the scope, allowing professionals to work from anywhere in the world. Continuous innovation and research in the field ensure a dynamic environment where individuals can continually upgrade their skills to stay relevant.
As organizations across diverse sectors increasingly rely on data-driven insights, Python data analysts specializing in LLMs are well-positioned to play a crucial role in extracting actionable insights from textual data, thus driving informed decision-making and innovation across industries.

What are the roles and responsibilities of a Python data analyst?

The roles and responsibilities of a Python data analyst in Gen AI and LLMs include:

  • Writing SQL queries to extract, manipulate, and aggregate data from databases for analysis.
  • Developing and implementing machine learning models for classification, regression, clustering, and predictive modeling using libraries such as Scikit-learn or TensorFlow.
  • Conducting Exploratory Data Analysis (EDA) to uncover patterns, trends, and insights that support decision-making.
  • Gathering data from diverse sources and ensuring its quality and consistency through preprocessing and cleaning tasks.
  • Implement algorithms for data preprocessing, model training, and evaluation using Python.
  • Deploy Gen AI models and LLMs into production environments, integrating them with existing systems using Python scripting.
  • Fine-tune parameters and algorithms to enhance the efficiency and accuracy of GenAI models.
  • Document methodologies and results of GenAI and LLM projects using Python-based tools, preparing reports for stakeholders.

How to become a Python data analyst?

To become a Python data analyst, start by earning a degree in computer science, data science, or a related field. Master Python programming and essential libraries like NumPy and Pandas for data manipulation. Learn SQL for database querying. Gain basic knowledge of machine learning and statistics.
Build a portfolio showcasing your skills through projects. Network with professionals and gain practical experience through internships or freelance work. Finally, actively apply for entry-level data analyst positions, highlighting your skills and portfolio in your applications.

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Skills required to get Python data analyst remote jobs 

As a Python data analyst specializing in LLMs, your role is pivotal in analyzing vast datasets and interpreting insights to drive informed decision-making. Here are some of the skills required to secure a remote role in Python data analysis:

Let’s have a look at some of the most sought-after skills  for Python data analyst jobs!

1. Python Proficiency

A comprehensive command of Python programming is paramount. This encompasses mastery over syntax, data structures, and object-oriented principles. A strong foundation in Python facilitates efficient data analysis in large language model development.

2. Structured Query Language (SQL)

Knowledge of SQL is often required for querying databases, finding relevant data, and performing data transformations.

3. Data Visualization

Proficiency in data visualization techniques is essential for conveying insights effectively. This involves the use of tools like Matplotlib, Seaborn, or Plotly to create compelling visualizations that aid in understanding complex datasets.

4. Data Analysis Techniques

 Understanding various data analysis techniques is imperative for extracting meaningful insights from data. This includes proficiency in exploratory data analysis, statistical analysis, and hypothesis testing to uncover patterns and trends within datasets.

Further to attain proficiency in these skills practice Python interview questions that will significantly enhance your knowledge.

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How to get Python data analyst  remote jobs?

Turing offers the best remote python data analyst jobs to match your career trajectory. Grow rapidly by working on challenging technical and business problems. Get long-term, full-time remote python data analysts with enhanced compensation and career growth by joining our network of the world’s top developers.

Why become a Python data analyst at Turing?

Elite U.S. jobs

Long-term opportunities to work for amazing, mission-driven U.S. companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top U.S. firms from the comfort of your home.

Great compensation

Working with top U.S. corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay for their Python data analysts?

If you’re looking to spin up your career, Turing is your one-stop destination. At Turing, every developer is allowed to set their own price. We do recommend salaries based on the requirements of our clients, market condition and skill set. So sign up to get a high-paying lucrative job from the comfort of your home.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

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We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

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Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Explore remote developer jobs

briefcase
QA Specialist - Audio Annotation & Diarization (US English)

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.


Role Overview:

We are building a highly accurate, evaluation-grade dataset of transcribed, multi-channel audio recordings to assess multilingual, multi-speaker AI systems. This project involves evaluating high-quality and realistic conversations representing diverse dynamics, contexts, and demographics.

The Workflow 

Contributors record unscripted group conversations. These recordings are run through an initial transcription and diarization pass, which contributors then human-validate and correct. As a QA Specialist, you are the final line of defense, responsible for reviewing the end-to-end quality of both the audio recordings and the human-verified annotations.

Key Responsibilities

Audio Quality Assurance:

  • Evaluate multi-channel audio recordings to ensure they meet strict technical and fidelity requirements.
  • Verify channel isolation (ensuring no audio bleed) and confirm that recordings were captured in appropriate, quiet environments free from disruptive background noise, clipping, or low gain.

Transcription & Diarization Verification:

  • Review human-validated transcriptions to guarantee exceptionally high accuracy and adherence to strict low error-rate (WER) targets.
  • Confirm that transcripts correctly capture spontaneous, unnormalized speech, preserving natural conversational dynamics such as overlaps, interruptions, and false starts.
  • Validate the precision of turn-level and word-level timestamps, as well as speaker identification, paying special attention to complex, overlapping dialogue , while comfortably reading and validating the underlying JSON-formatted data to ensure accurate metadata tagging and timestamp logic.

Metadata & Content Review:

  • Verify the accuracy of all applied metadata, including demographic markers, contextual domains, and specific conversational tags.
  • Enforce strict safety and privacy standards by auditing sessions to ensure no Personally Identifying Information (PII), toxic, or sensitive content is present.
  • Execution & Reporting:
  • Assess the end-to-end quality of the annotation task, assigning clear pass/fail or agree/disagree statuses during your review.
  • Provide detailed, actionable comments and feedback whenever disagreeing with an annotator's work.

Requirements & Qualifications

  • Exceptional ear for audio fidelity and the ability to detect subtle background noises, channel bleed, or clipping.
  • Meticulous attention to detail for verifying word-level timestamps and strict, unnormalized verbatim transcription rules. 
  • Native proficiency in US English
  • Ability to accurately assess complex multi-speaker dynamics.

Ideal Backgrounds include:

  • Linguists/Phonetics Experts: Deep understanding of natural, unnormalized speech patterns. Expertise in accurately identifying and annotating complex conversational dynamics, including overlaps, false starts, and backchannels.
  • Language Teachers: Exceptional, native-level mastery of the target language. Ability to strictly adhere to verbatim transcription guidelines, documenting every stutter, filler word, and disfluency without applying prescriptive grammar corrections.
  • Professional Transcriptionists: Ear for audio fidelity , rigorous timestamping skills, and experience meeting strict accuracy targets. Rigorous approach to precise turn-level and word-level timestamping.

Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Potential for contract extension based on performance and project needs.

Offer Details:

  • Engagement type  : Contractor assignment/freelancer (no medical/paid leave)
  • Duration of contract : 4 weeks

Evaluation Process :

  • Shortlisted candidates will be reviewed by our team internally and will be reached out for onboarding. 
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1-10 employees
QASound and Audio
briefcase
Senior Illustrator/Sketcher/Cartoonist

About Turing

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview


We are looking for a creative and detail-oriented Senior Illustrator/Sketcher/Cartoonist with strong visual skills and the ability to work across diverse artistic sketching styles. The role requires both high-quality illustration work and clear, professional communication.


Key Responsibilities 


Create stylized illustrations based on briefs while maintaining composition and visual consistency 

Adapt and replicate multiple illustration styles and produce required variants with accuracy 

Ensure quality in lighting, texture, and overall output 

Document prompts, style choices, and metadata clearly 

Collaborate effectively with teams and incorporate feedback 

Ensure final outputs are polished, production-ready, and aligned with project goals


Style Expertise 


Sketch & Drawing 

Cinematic & Film Noir 

Steampunk 

Surreal / Dreamlike / Psychedelic Cyberpunk & Sci-Fi

Art Deco & Art Nouveau 

Vintage & Retro Glitch & Vaporwave


Tools 

Adobe Photoshop 

Procreate 

Adobe Illustrator (for vector illustration, if required) 

Affinity Suite

Clip Studio Paint


Requirements 


  • Minimum 3+ years of professional experience as an Illustrator/Sketcher/Cartoonist or in a similar role 
  • Strong portfolio showcasing versatility across multiple styles 
  • Strong fundamentals in composition, color, and lighting 
  • Ability to paint/render scenes, characters, or environments 
  • Ability to replicate multiple art styles accurately 
  • Good written and verbal communication skills 
  • High attention to detail and time management

Benefits

  • Opportunity to work on cutting-edge AI projects.
  • Competitive compensation.
  • Flexible working hours and remote work environment.

Application Process

  • Shortlisted candidates will complete an assessment.
  • Once the assessment is cleared, candidates can start.
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1-10 employees
Adobe IllustratorAdobe Photoshop
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