Code Reviewer for LLM Data Training (SQL) Job at G2i Inc.

New

Sr. SWE for Code Reviewing LLM Data Training (SQL)

We are looking for a Code Reviewer with expertise in SQL to join our AI training...

Location

Salary:

Not provided

G2i Inc.

Expiration Date

Until further notice

Requirements

5–7+ years of experience in SQL development, QA, or code review
Strong understanding of core SQL concepts and development best practices
Experience with debugging, testing tools, and code execution environments
Strong analytical and critical thinking skills
Excellent written communication for documenting evaluations and feedback
English proficiency at B2, C1, C2, or Native level

Job Responsibility

Audit annotator evaluations of AI-generated SQL responses
Verify if responses follow prompt requirements regarding query logic, joins, and correct SQL syntax
Evaluate SQL code for correctness, performance, security, and readability
Run and validate proof-of-work code submitted by annotators to confirm functionality
Ensure responses align with instruction-following expectations including style, tone, and clarity
Identify and document errors, omissions, or rating inconsistencies
Provide clear, constructive QA feedback based on rubric and guideline criteria
Collaborate with internal teams for clarifications on complex or ambiguous items

Senior Director, Data Science

The Senior Director of Data Science will set and drive the enterprise-wide visio...

Location

United States

Salary:

135700.00 - 278300.00 USD / Year

One Call

Expiration Date

Until further notice

Requirements

Bachelor’s degree (B.A. or B.S.) in Statistics, Mathematics, Computer Science, or related quantitative field
advanced degree preferred
10+ years of experience in data science, with several years in senior leadership roles managing larger teams and enterprise-level projects
Strong problem-solving skills with an emphasis on product development and business impact
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Excellent written and verbal communication skills for coordinating across teams and influencing senior stakeholders
A drive to learn and master new technologies and techniques
Demonstrated ability to develop and drive strategies that enhance business performance, with proven results at the enterprise level

Job Responsibility

Set and drive the enterprise-wide data science vision, ensuring alignment with executive leadership and long-term business objectives
Architect and oversee technical strategy for all data science initiatives, championing innovation in AI/ML methodologies and platforms
Lead the design, development, and deployment of ML models, focusing on advanced techniques such as Natural Language Processing (NLP), generative AI, and automation
Own the development and governance of a modern data platform for all data consumers
Lead LLM integration projects to automate manual processes and improve operational efficiency
Stay current with emerging technology trends and represent the organization in external forums, conferences, and industry groups
Collaborate with senior leaders across IT, Product, Operations, Marketing, and other business units to identify and execute high-impact, cross-functional data initiatives
Drive AI solutions for automation, decision intelligence, and enhanced customer experience
Translate complex data insights into actionable business strategies and measurable outcomes
Manage larger, multi-disciplinary teams, mentoring and developing future leaders within the data science organization

What we offer

Remote Work: We are a remote-first company, and almost all positions receive the flexibility of working from home
Generous Time Off: Besides 8 company holidays and 2 personal days every year, all colleagues receive a minimum of 18 days of paid time off
Comprehensive Benefits Package: Including medical, dental, vision, and pet insurance
401(k) matching program
and company-paid life insurance and short and long-term disability coverage
Supportive Services: We offer a Colleague Assistance Program that provides free counseling and financial services, and our One Call Foundation, a non-profit arm of our company, provides colleagues financial assistance during times of unexpected hardships

Fulltime

Senior ML Engineer (GenAI)

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

Senior ML Engineer (GenAI)

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

New

Senior Software Engineer

Wells Fargo is seeking a Senior Software Engineer

Location

India , Hyderabad

Salary:

Not provided

Wells Fargo

Expiration Date

February 20, 2026

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Strong proficiency in Java, Spring Boot, and microservices architecture.
Experience building front-end applications using React.
Practical experience with Kafka (producers, consumers, schema, partitions, streams).
Hands-on exposure to OCP/OpenShift including containerization, deployments, and monitoring.
Working knowledge of GenAI/LLM models, including integration with APIs and AI-driven components.
Solid understanding of data storage systems: SQL, NoSQL, caching, distributed storage.
Strong understanding of CI/CD, Git, testing frameworks, and DevOps practices.
Excellent analytical, debugging, and problem-solving skills

Job Responsibility

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff.
Design, develop, and maintain enterprise-grade microservices using Java and Spring Boot.
Build intuitive and responsive front‑end applications using React and modern JavaScript/TypeScript.
Implement and optimize event-driven architectures using Kafka, ensuring high throughput and reliability.

Fulltime

!

New

Senior Software Engineer

Wells Fargo is seeking a Senior Software Engineer

Location

India , Hyderabad

Salary:

Not provided

Wells Fargo

Expiration Date

February 23, 2026

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of hands‑on software engineering experience
Strong proficiency in Java, Spring Boot, and microservices architecture
Experience building front-end applications using React
Practical experience with Kafka (producers, consumers, schema, partitions, streams)
Hands-on exposure to OCP/OpenShift including containerization, deployments, and monitoring
Working knowledge of GenAI/LLM models, including integration with APIs and AI-driven components
Solid understanding of data storage systems: SQL, NoSQL, caching, distributed storage
Strong understanding of CI/CD, Git, testing frameworks, and DevOps practices
Excellent analytical, debugging, and problem-solving skills

Job Responsibility

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Design, develop, and maintain enterprise-grade microservices using Java and Spring Boot
Build intuitive and responsive front‑end applications using React and modern JavaScript/TypeScript
Implement and optimize event-driven architectures using Kafka, ensuring high throughput and reliability

Fulltime

!

AI Solutions Architect

We are seeking an experienced AI Solutions Architect to join our data team and d...

Location

United States , San Diego

Salary:

160000.00 - 180000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
5+ years of experience in AI/ML solution architecture and implementation
Proven track record of taking AI projects from proof-of-concept to production
Strong experience with Snowflake Cortex AI or similar systems for enterprise AI workflows
Hands-on experience with AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen) for building autonomous AI workflows
Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production applications
Experience designing and implementing RAG systems, including vector databases (Pinecone, Weaviate, Chroma, pgvector, or similar), embedding models, and retrieval optimization
Experience building interactive applications with Gradio and Streamlit
Advanced GitHub/GitLab workflows including CI/CD, branching strategies, and code review processes
Expertise in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)

Job Responsibility

Design and architect end-to-end AI solutions using Snowflake Cortex AI, Modal, and cloud-native technologies
Develop rapid proof-of-concepts for Retrieval augmented generation (RAG) applications, operational optimization, process optimization, energy forecasting, predictive maintenance, and computer vision (drone footage) use cases
Design and implement AI agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration tools
Create interactive demos and prototypes using Gradio and Streamlit for stakeholder validation
Translate business requirements into technical specifications and system architectures
Build and deploy scalable AI/ML models for business process optimization, renewable energy applications, including wind/solar forecasting, and asset performance optimization
Integrate AI capabilities via APIs and SDKs from providers including OpenAI, Anthropic, Azure OpenAI, and Hugging Face
Implement MLOps pipelines using Dagster, Snowflake, Sentry, and Modal for model training, deployment, and monitoring
Design and optimize RAG architectures, including vector database implementation, embedding strategies, and retrieval pipelines
Ensure robust version control and collaboration practices using GitLab

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

AI Solutions Architect

We are seeking an experienced AI Solutions Architect to join our data team and d...

Location

United States , Scottsdale

Salary:

160000.00 - 180000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
5+ years of experience in AI/ML solution architecture and implementation
Proven track record of taking AI projects from proof-of-concept to production
Strong experience with Snowflake Cortex AI or similar systems for enterprise AI workflows
Hands-on experience with AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen) for building autonomous AI workflows
Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production applications
Experience designing and implementing RAG systems, including vector databases (Pinecone, Weaviate, Chroma, pgvector, or similar), embedding models, and retrieval optimization
Experience building interactive applications with Gradio and Streamlit
Advanced GitHub/GitLab workflows including CI/CD, branching strategies, and code review processes
Expertise in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)

Job Responsibility

Design and architect end-to-end AI solutions using Snowflake Cortex AI, Modal, and cloud-native technologies
Develop rapid proof-of-concepts for Retrieval augmented generation (RAG) applications, operational optimization, process optimization, energy forecasting, predictive maintenance, and computer vision (drone footage) use cases
Design and implement AI agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration tools
Create interactive demos and prototypes using Gradio and Streamlit for stakeholder validation
Translate business requirements into technical specifications and system architectures
Build and deploy scalable AI/ML models for business process optimization, renewable energy applications, including wind/solar forecasting, and asset performance optimization
Integrate AI capabilities via APIs and SDKs from providers including OpenAI, Anthropic, Azure OpenAI, and Hugging Face
Implement MLOps pipelines using Dagster, Snowflake, Sentry, and Modal for model training, deployment, and monitoring
Design and optimize RAG architectures, including vector database implementation, embedding strategies, and retrieval pipelines
Ensure robust version control and collaboration practices using GitLab

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

Code Reviewer for LLM Data Training (SQL)

G2i Inc.

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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