SQL Data Analyst Remote Jobs with U.S. Companies

Are you a skilled Python developer passionate about data analysis and SQL? Join a team of talented professionals working with cutting-edge technology within the context of Large Language Models (LLMs) with leading U.S. tech companies. This role offers the flexibility of working from home, earning in USD, and contributing to innovative projects that push the boundaries of technological advancement.

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Job description

Job responsibilities

  • Collaborate on LLM training projects, utilizing SQL for data analysis and manipulation.
  • Optimize LLMs to improve efficiency and accuracy, contributing to the development of highly scalable and customer-centric applications.
  • Stay abreast of the latest advancements in LLM technology and integrate them into development processes.
  • Implement Python solutions that leverage LLMs for natural language understanding and generation.
  • Continuously fine-tune and optimize LLMs, troubleshooting and resolving any issues that arise.

Minimum requirements

  • Bachelor's/Master's degree in computer science or equivalent experience.
  • 1+ years of professional software development experience.
  • Proficiency in Python programming for developing and optimizing LLM-based solutions.
  • Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Understanding of Natural Language Processing (NLP) concepts and ability to work with Large Language Models.
  • Analytical and problem-solving skills, particularly in troubleshooting and optimizing LLM implementations.
  • Effective communication skills in English to collaborate with engineering managers and team members.
  • Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones.

Preferred skills

  • Familiarity with front-end technologies like JavaScript, HTML5, and CSS3.
  • Familiarity with working with LangChain.
  • Familiarity with Data Science and SQL.
  • Experience working with RestfulAPIs.
  • Working knowledge of vector databases.
  • Basic exposure to object-relational mapper (ORM) libraries.
  • Previous experience working on projects involving Large Language Models is a strong plus.

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How to become a successful SQL data analyst in LLM?

To excel as a SQL data analyst in Large Language Model (LLM) development, you should prioritize enhancing your SQL skills, and familiarize yourself with natural language processing (NLP) principles, fundamental for understanding LLM frameworks. You can expand your expertise by learning the fundamentals of machine learning and its synergy with language models.

Also, engage in practical projects to apply theoretical knowledge, collaborate with experienced professionals, and stay updated on emerging trends in the field. Create a compelling resume highlighting your SQL proficiency and relevant experiences, showcasing your potential to prospective remote employers in LLM development.

What is the scope of SQL data analyst remote jobs?

The scope of an SQL data analyst developer in Large Language Model (LLM) development is broad and dynamic, reflecting the growing demand for professionals adept at analyzing and harnessing data within the context of natural language processing (NLP). SQL data analysts play a crucial role in LLM projects by leveraging their expertise in SQL to extract, transform, and analyze data, thereby facilitating the training and optimization of LLMs.

SQL data analysts collaborate with data scientists, machine learning engineers, and Python developers to:

  • Extract and preprocess large volumes of textual data from diverse sources for training LLMs.
  • Perform exploratory data analysis to gain insights into linguistic patterns, trends, and anomalies.
  • Design and execute complex SQL queries to manipulate and aggregate data for training and evaluation purposes.
  • Optimize data pipelines and workflows to streamline the LLM development process and improve efficiency.
  • Validate and assess the performance of LLMs through rigorous data analysis and evaluation metrics.
  • Collaborate on interdisciplinary projects that leverage LLMs for applications such as text generation, sentiment analysis, and language translation.
  • Overall, the scope of an SQL data analyst developer in LLM encompasses a blend of data analysis, SQL proficiency, and domain expertise in natural language processing, offering exciting opportunities to contribute to cutting-edge research and innovation in the field of artificial intelligence.

What are the roles and responsibilities of an SQL data analyst?

In LLM development, the roles and responsibilities of an SQL data analyst revolve around leveraging their expertise in SQL to facilitate the training, optimization, and evaluation of Large Language Models. Key responsibilities include:

1. Data Extraction and Preprocessing: Extracting, cleansing, and preprocessing large volumes of textual data from diverse sources to prepare it for training LLMs.

2. Querying and Manipulating Data: Designing and executing complex SQL queries to manipulate and aggregate data, ensuring it meets the requirements for LLM training and evaluation.

3. Data Analysis and Insights: Performing exploratory data analysis to gain insights into linguistic patterns, trends, and anomalies, aiding in the optimization of LLMs.

4. Pipeline Optimization: Optimizing data pipelines and workflows to streamline the LLM development process, improving efficiency and scalability.

5. Performance Evaluation: Validating and assessing the performance of LLMs through rigorous data analysis and evaluation metrics, contributing to the iterative improvement of models.

Overall, the SQL data analyst plays a crucial role in facilitating the data-driven aspects of LLM development, ensuring the successful implementation and optimization of Large Language Models.

Skills required to get SQL data analyst remote jobs 

To excel as an SQL Data Analyst, you'll need a combination of technical and soft skills:

1. SQL Proficiency: Master SQL querying for data extraction, manipulation, and analysis. Understand complex SQL functions, joins, subqueries, and optimization techniques.

2. Data Analysis Tools: Familiarize yourself with tools like Microsoft SQL Server, MySQL, or PostgreSQL for database management and querying. Additionally, proficiency in analytics tools such as Excel, Python, or R can be advantageous.

3. Data Visualization: Ability to create compelling visualizations using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to communicate insights effectively to stakeholders.

4. Problem-Solving Skills: Analytical mindset to interpret complex data, identify patterns, and provide actionable insights to support decision-making.

6. Communication Skills: Articulate findings clearly to both technical and non-technical audiences. Collaborate effectively with legal experts, policymakers, and other stakeholders.

7. Attention to Detail: Ensure accuracy and precision in data analysis to maintain the integrity of legal and legislative data.

8. Adaptability: Stay updated with emerging technologies, industry trends, and changes in regulations to adapt quickly to evolving requirements.

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How to get SQL data analyst remote jobs?

To secure remote SQL data analyst jobs in Large Language Model (LLM) development, start by acquiring a strong foundation in SQL, data analysis, and Python programming. Gain hands-on experience through internships, freelance projects, or entry-level positions. Build a portfolio showcasing your SQL and data analysis skills, highlighting any projects related to LLM development. Network with professionals in the field, join online communities and attend virtual events to stay updated on industry trends and job opportunities. Tailor your resume and cover letter to emphasize your relevant skills and experience, and actively search for remote job openings on job boards and company websites.

How much does Turing pay for their SQL data analysts?

If you’re looking to accelerate your career, Turing is the place to go. At Turing, every developer is allowed to set their own price. We recommend salaries based on the requirements of our clients, market conditions, 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.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

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.

No, the service is absolutely free for software developers who sign up.

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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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Interview Process

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Offer Details

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  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
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Key Responsibilities

● Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
●  Develop and optimize complex data structures and algorithms to ensure efficient data processing and storage.
●  Architect and manage interactions with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate) to support application and AI functionality.
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● Conduct red teaming exercises to evaluate and improve the security and robustness of AI systems and backend infrastructure.
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●  Stay updated on industry trends, emerging AI technologies, and backend development practices to recommend improvements and innovations.

Qualifications

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●  Familiarity in Python and its ecosystems (e.g., Django, Flask, FastAPI) for building scalable applications.
●  Strong understanding of data structures, algorithms, and software design principles.
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●  Solid understanding of embeddings and how these work with vector databases
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●  Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
●  Familiarity with data labeling, preprocessing, and red teaming for AI model development and evaluation.
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●  Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
●  Excellent communication skills and a passion for mentoring and knowledge sharing.

Preffered Skills

● Experience with microservices architecture and distributed systems.
●  Knowledge of CI/CD pipelines and DevOps practices.
●  Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
●  Understanding of AI security best practices, including red teaming and compliance standards (e.g., GDPR, OWASP).
●  Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
●  Contributions to open-source AI or backend projects or a strong portfolio showcasing relevant work.
●  Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.  

Interview Process

  • 1-2 technical rounds with the client

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
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