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5d ago

Data Analyst - AI Trainer

DataAnnotation Buffalo, NY 🇺🇸 Remote

Buffalo, NY

5d ago

$50 - $100/hr Full time Ai Ml Ai Trainer Analyst

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Job Description

DataAnnotation, a company focused on training AI systems through carefully crafted coding tasks, is seeking a Data Analyst - AI Trainer. This remote-friendly role centers on designing and solving coding problems to train AI systems, evaluating AI-generated code, and providing feedback to help shape future models, with flexible scheduling and project-based pay.

Location

Buffalo, NY (remote)

Responsibilities

Design and solve diverse coding problems used to train AI systems.
Write clear, high-quality code snippets and detailed explanations.
Evaluate AI-generated code for accuracy, performance, and clarity.
Provide feedback that directly shapes the next generation of AI models.

Requirements

Fluency in English (native or bilingual level).
Proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
A bachelor’s degree (completed or in progress).

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to $100+ USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI technologies.

Pay: $50.00 - $100.00 per hour

Work location: Remote

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5d ago

Data Analyst - AI Trainer

DataAnnotation Secaucus, NJ 🇺🇸 Remote

Secaucus, NJ

5d ago

$50 - $100/hr Full time Ai Ml Ai Trainer Analyst

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Job Description

DataAnnotation is expanding its remote team with a Data Analyst - AI Trainer. In this role, you will design and solve coding problems used to train AI systems, evaluate AI-generated code for quality, and provide actionable feedback to improve AI models. The position offers flexible scheduling and pay up to USD 100+ per hour, reflecting the value of skilled problem design and precise critique in advancing AI capabilities.

Location

Secaucus, NJ (remote)

Salary

Hourly pay: USD 50 - 100

Education

Bachelor’s degree (completed or in progress)

Responsibilities

Design and solve diverse coding problems used to train AI systems.
Write clear, high-quality code snippets and detailed explanations.
Evaluate AI-generated code for accuracy, performance, and clarity.
Provide feedback that directly shapes the next generation of AI models.

Requirements

Fluency in English (native or bilingual level).
Proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
A bachelor’s degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to USD 100+ per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI technologies.

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5d ago

Junior Data Analyst

Noramtec Consultants Americas Charlotte, NC

Charlotte, NC

5d ago

$20 - $24/hr Full time Analyst Analytics Business Analytics

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Job Description

The regional subject matter expert for Salesforce and sales analytics, this role delivers actionable SFDC, revenue, and POS insights while advancing best practices, process improvements, and enablement tools across the sales organization.

Responsibilities

Capture, analyze, and report key sales data from SFDC and revenue or POS sources to inform business decisions.
Coordinate commercial forecasting, pipeline reviews, and weekly performance reporting for the sales teams.
Evaluate ongoing business processes and collaborate across the organization to enhance commercial efficiency, enable revenue initiatives, and reduce costs.
Partner with IT to investigate and deploy SFDC based sales enablement tools and ensure successful rollout of sales initiatives.
Apply practical sales experience to drive continuous improvements that shorten non selling time and boost sales team effectiveness.
Train and support sales staff in best practice use of SFDC and related enablement tools.
Provide supplementary reporting and analysis for the region as needed.

Requirements

Bachelor's Degree in a related field.
Minimum of 3 years of data analysis experience with solid knowledge of sales methodology.
Strong analytical abilities and the capacity to translate complex data into concise summaries.
Working familiarity with Salesforce.
Proficiency in Microsoft Office applications, including Word, Excel, and PowerPoint.

Technologies

Salesforce (SFDC)
Power BI
Microsoft Office

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

Scope of Position

This position serves as the regional expert for Salesforce (SFDC) and sales analytics, partnering with regional sales leadership to deliver actionable SFDC, revenue, and POS insights while driving adoption of best practices, process improvements, and sales enablement tools across the sales organization.

Pay

Compensation: $20.00 - $24.50 per hour.

Education

Education: Bachelor's degree is preferred.

Experience

Salesforce: 3 years (Preferred)
Sales: 3 years (Preferred)

Work Location

On site in Charlotte, NC

Soft Skills

Clear written and spoken English communication, with ability to present data graphically
Ability to prioritize, multitask, and work effectively in a dynamic environment
Strong work ethic, responsiveness, and meticulous attention to detail
Ability to work well both independently and in a team

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5d ago

Data Analyst - AI Trainer

DataAnnotation Painted Post, NY 🇺🇸 Remote

Painted Post, NY

5d ago

$50 - $100/hr Full time Ai Ml Analyst Analytics

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Job Description

DataAnnotation seeks a Data Analyst - AI Trainer in Painted Post, NY (remote) to design and solve coding problems for training AI models, evaluate AI-generated code, and provide actionable feedback, with hourly pay ranging from USD 50 to 100, fully remote work, and a flexible schedule.

Responsibilities

Design and solve a range of coding challenges used to train AI systems.
Produce clear, high-quality code samples with thorough explanations.
Assess AI-generated code for accuracy, performance, and readability.
Offer feedback that informs the next generation of AI models.

Requirements

Native or bilingual level English proficiency.
Proficiency in at least one language or framework from: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Strong writing and grammar skills.
Bachelor’s degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and decide when to work.
Competitive pay: hourly projects up to USD 100+, with opportunities for higher-paying assignments based on performance.
Impact: contribute to shaping the future of AI technologies.

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5d ago

Database / Data Analyst – Data Conversion & Validation (ERP Financial Systems)

TLK International Mineola, NY

Mineola, NY

5d ago

$80k - $95k/yr Full time Analyst Data Analysis Data Analytics

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Job Description

TLK International is seeking a Database / Data Analyst to work onsite in Nassau County, NY. This ERP data conversion and validation role focuses on data profiling, validation, and reconciliation to ensure migrated data remains accurate and reconcilable across legacy and target systems. The position offers a salary range of $80,000–$95,000 per year and requires solid experience in data analysis, QA, or data validation. You will collaborate with the Data Conversion Lead, Functional Leads, and UAT teams throughout discovery, validation, and post go-live phases.

Responsibilities

Data Profiling & Analysis: Examine legacy data to assess quality, completeness, and structure; identify anomalies, duplicates, and inconsistencies; conduct data discovery and profiling across modules such as GL, AP, AR, Projects, and more.
Data Validation & Conversion Testing: Validate converted data using system reports, data extracts, SQL queries, record-count validation, control totals, and data comparisons between legacy and target systems, covering pre-load, load, and post-load activities.
Financial Data Validation & Reconciliation: Support reconciliation of General Ledger balances, Sub-ledger data (AP, AR, Assets, Projects), beginning balances and roll-forwards, transaction-level data where applicable, trial balance validation, and fund-level or cross-fund reconciliation.
Conversion Data Support: Validate master data (vendors, customers, projects, grants); open transactions (AP, AR, POs, contracts); data mapping and transformation outputs; crosswalk logic and data normalization; participate in mock conversion cycles and dress rehearsals.
Data Querying & Analysis: Develop and execute SQL queries for record counts, control totals, data integrity checks, discrepancies, and root-cause analysis to support troubleshooting.
Reporting & Documentation: Produce validation reports, exception logs, data comparison summaries, and validation results suitable for audit purposes.

Requirements

4–8+ years in data analysis, QA, or data validation
Data validation and reconciliation experience
Data comparison across systems
Strong analytical skills
Ability to interpret and validate financial data
Experience with SQL for data validation, querying, and analysis
ERP systems familiarity (CGI Advantage, Oracle, SAP, PeopleSoft)
Data conversion and migration project experience
Understanding of financial processes (GL, AP, AR, budgeting)
Public sector or fund accounting background
Data profiling and ETL validation experience

Technologies

SQL
CGI Advantage
Oracle
SAP
PeopleSoft

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5d ago

Treasury Data Analyst

UnitedHealth Group Eden Prairie, MN

Eden Prairie, MN

5d ago

$73k - $130k/yr Full time Analyst Analytics Business Analytics

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Job Description

UnitedHealth Group offers a comprehensive benefits package, incentive and recognition programs, an equity stock purchase plan, and 401(k) contributions, all supporting a collaborative, data-driven culture. This hybrid role in Eden Prairie, MN focuses on building forward-looking cash flow forecasting analytics, ML-powered modeling, dashboards, and data quality controls to support Treasury decision-making. The position requires an undergraduate degree and at least two years of relevant experience, with a salary range of USD 72,800 - 130,000 per year.

Benefits

comprehensive benefits package
incentive and recognition programs
equity stock purchase
401k contribution

Responsibilities

Collaborate with data analysts, scientists, and Treasury teammates to deploy machine learning based predictive data models for cash flow forecasting
Leverage Power BI to craft reports and dashboards that yield actionable insights for measuring, forecasting, investing, borrowing, and risk management
Develop SQL queries and automated workflows to extract and manipulate data for analytical needs
Partner with other departments to gather forward-looking business data to enhance forecasting models
Design, validate, and run data quality and integrity checks to ensure reliable analytical outputs
Translate business questions and requirements into technical logic and analytical solutions
Present insights, assumptions, and limitations clearly through visuals and dialogue to audiences ranging from operators to senior leadership

Requirements

Undergraduate degree in Accounting, Finance, Economics, Analytics, or other quantitative field
2+ years of data analytics or financial analysis within treasury, finance or related business function
High attention to detail with a strong focus on accuracy, quality, and data integrity
Ability to synthesize large datasets, interpret financial statements, analyze cash flow projections, and understand financial ratios
Analytical mindset with comfort navigating ambiguity and managing multiple priorities
Effective communication skills to convey insights and recommendations to stakeholders across all levels

Technologies

Power BI
SQL
Microsoft Excel
Snowflake

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5d ago

Lead Machine Learning Engineer

Capital One McLean, VA

McLean, VA

5d ago

$197k - $225k/yr Full time Ai Ml Artificial Intelligence Cloud Operations

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Job Description

Capital One seeks a Lead Machine Learning Engineer in McLean, VA (onsite) to productionize ML applications and scale ML systems within an Agile team.

Responsibilities

Design, build, and deliver ML models and components that address real world business challenges, in collaboration with Product and Data Science teams.
Guide ML infrastructure choices by applying knowledge of modeling techniques, including model selection, data and feature choices, training processes, hyperparameter tuning, dimensionality, bias/variance considerations, and validation.
Tackle complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Work within a cross functional Agile team to create and enhance software that enables state of the art big data and ML applications.
Retrain, maintain, and monitor models in production to ensure continued performance.
Leverage or build cloud based architectures, technologies, and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models with reliable input data.
Apply continuous integration and continuous deployment practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure code quality and governance to minimize vulnerabilities and align ML with Responsible and Explainable AI practices.
Utilize programming languages such as Python, Scala, or Java.

Requirements

Bachelor’s degree.
Minimum of 6 years designing and building data-intensive solutions using distributed computing (internship experience does not apply).
Minimum of 4 years programming with Python, Scala, or Java.
Minimum of 2 years building, scaling, and optimizing ML systems.