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Remote Ai Tester Jobs in Silver Spring, MD (NOW HIRING)

ManTech

AI Assurance Engineer

Washington, DC · Remote

$141K - $236K/yr

Support AI testing, evaluation, verification, and validation (TEVV) activities for operational AI ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Booz Allen Hamilton, Inc.

Penetration Tester

Herndon, VA · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0236401 Location: Herndon,VA,US Share job via: Share Penetration ... Knowledge of tools, tactics, and techniques targeting Artificial Intelligence (AI) systems and ...

SAIC

QA Automation Tester

Reston, VA · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_HYBRID Description The AI Agentic Program seeks a senior automation tester with strong experience testing Agile software teams delivering cloud-native ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

... our AI applications team. This is a fully remote position for candidates in the continental U.S ... Experience : 6-8 years of experience in software development, including design, coding, testing ...

Goldman Edwards, Inc.

Be Seen First

AI Foundry Engineer (Remote)

Washington, DC · Remote

AI Foundry Engineer (US - Remote) Position summary We are seeking a highly skilled AI Foundry ... testing AI and LLM's using tools to evaluate accuracy, bias, and reliability of AI tools and ...

NuAxis Innovations

Senior AI Developer

Washington, DC · On-site +1

$61.75 - $81.50/hr

We are currently seeking a talented and motivated Senior AI Developer for a remote federal program ... Support testing, performance optimization, security assessments, DevSecOps integration, and ...

10a Labs

AI Red Teamer, Cyber

Washington, DC · Remote

$100K - $120K/yr

Develop adversarial testing methodologies to evaluate system security, robustness, and resilience ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Special Olympics

AI Intern - DP&T

Washington, DC · Remote

$17 - $22.50/hr

Remote, USA Department: Digital Products & Technology - Data Science & Engineering Reports to ... The AI Intern will support the Data Science & Engineering team in researching, prototyping, testing ...

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All JobsAi Tester JobsRemote Ai Tester JobsRemote Ai Tester Jobs in Silver Spring, MD

Remote Ai Tester information

See Silver Spring, MD salary details

$11

$49

$71

How much do remote ai tester jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for remote ai tester in Silver Spring, MD is $49.15, according to ZipRecruiter salary data. Most workers in this role earn between $38.75 and $57.88 per hour, depending on experience, location, and employer.

How much do AI testers get paid?

AI testers typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of the projects. Entry-level positions may start lower, while experienced testers with specialized skills can earn higher salaries, often working remotely with flexible schedules.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and testing AI models. Familiarity with testing tools and frameworks, as well as attention to detail, are essential for evaluating AI performance and identifying issues.

How can I make 2000 a week working from home?

Remote AI testers can earn around $2000 weekly by working on multiple projects, testing AI models, and providing feedback. Building skills in machine learning, data annotation, and using testing tools can increase earning potential. Consistent work, specialized knowledge, and efficient time management are key to reaching this income level.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills, experience, and sometimes leadership responsibilities. These roles may involve developing complex algorithms, managing AI projects, or overseeing AI teams, and they usually require expertise in programming, data analysis, and AI tools.

What are the key skills and qualifications needed to thrive as a Remote AI Tester, and why are they important?

To thrive as a Remote AI Tester, you need a strong understanding of software testing principles, programming basics (such as Python), and familiarity with AI/ML concepts, often supported by a degree in computer science or related field. Experience with testing frameworks, version control systems like Git, and bug tracking tools such as Jira is typically required. Attention to detail, analytical thinking, and effective remote communication are essential soft skills for this role. These skills ensure accurate evaluation of AI systems, reliable test coverage, and seamless collaboration with distributed teams.

What is the difference between Remote Ai Tester vs Remote Data Annotator?

AspectRemote Ai TesterRemote Data Annotator
Required CredentialsBasic understanding of AI/ML concepts, sometimes certifications in testing or QAAttention to detail, training in annotation tools, no formal certifications required
Work EnvironmentRemote, often collaborative with AI development teamsRemote, focused on data labeling and annotation tasks
Industry UsageAI development, machine learning projectsData preparation for AI models, machine learning datasets
Common Search/ComparisonYesYes

Remote Ai Testers and Remote Data Annotators both work remotely in AI-related fields. While Ai Testers focus on evaluating AI models' performance and accuracy, Data Annotators prepare and label data for training AI systems. Both roles require attention to detail and familiarity with AI workflows, but Ai Testers often need a basic understanding of AI concepts, whereas Data Annotators primarily focus on data labeling tasks.

What are Remote AI Testers?

Remote AI Testers are professionals who evaluate and validate artificial intelligence systems, algorithms, or applications from a remote location. Their primary role is to ensure that AI models work as intended by testing for accuracy, reliability, and potential biases. They may create test cases, report bugs, and provide feedback to development teams to help improve AI products. This job often requires technical knowledge of AI, attention to detail, and strong communication skills. Working remotely allows AI testers to collaborate with teams globally and test software in various real-world environments.

What are some common challenges faced by Remote AI Testers, and how can they be addressed?

Remote AI Testers often encounter challenges such as limited direct communication with development teams and difficulties in understanding complex AI models without in-person support. To address these, it’s important to proactively schedule regular virtual meetings, document testing procedures thoroughly, and leverage collaboration tools to share findings efficiently. Staying updated with the latest testing frameworks and maintaining a strong self-management routine can also help ensure productivity and quality while working remotely.
What are popular job titles related to Remote Ai Tester jobs in Silver Spring, MD? For Remote Ai Tester jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Ai Tester jobs in Silver Spring, MD look for? The top searched job categories for Remote Ai Tester jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Ai Tester jobs? Cities near Silver Spring, MD with the most Remote Ai Tester job openings:
Remote Ai Tester jobs near you
Infographic showing various Remote Ai Tester job openings in Silver Spring, MD as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $102,229 per year, or $49.1 per hour.

Remote- AI & Financial Engineering Developer- ONLY W2

INFT Solutions Inc

Mclean, VA • On-site, Remote

Contractor

Posted 8 days ago

Job description

AI & Financial Engineering Developer

Location: McLean, Remote

Call notes:

This is a remote opportunity.
We use a variety of quantitative models to forecast mortgage defaults and prepayments in order to assess financial risk.
The goal is to leverage AI to assist users throughout the model execution lifecycle, including formatting inputs, interpreting data elements, and providing guidance during model execution.
Since we have different models for different mortgage products, the AI should be able to understand the specific model being executed and provide contextual assistance accordingly.
The AI should be capable of analyzing the underlying model code and business logic to explain what is happening during execution, identify potential issues, and help diagnose model outputs.
This role requires a unique combination of AI expertise and Financial Engineering knowledge, as the individual will be working at the intersection of both domains.
Development will primarily be done in Python.
Candidates should have experience with quantitative financial models, including prepayment models, credit risk models, valuation models, and risk models.
Similar to industry-standard models (e.g., Opus), all models go through required security and governance checks before being deployed. They are then hosted securely within internal endpoints for enterprise use.
Job Description: AI & Financial Engineering Developer
Location: McLean, Remote
Must Have Qualifications: 7+ years of software development experience, including experience with API development, AI application development, and programming languages such as Python, C++, and Scala. Candidates should have 1-3 years of financial industry experience, with exposure to large language models (LLMs) and agentic AI development is a strong plus. A degree is preferred but not required. Prior experience with Fannie or Freddie is a strong plus.
Position Overview
We are seeking a highly skilled AI & Financial Engineering Developer who combines deep expertise in artificial intelligence/machine learning with quantitative finance and financial engineering. This hybrid role is ideal for a technologist who thrives at the intersection of cutting-edge AI and complex financial systems.
Key Responsibilities
AI & Machine Learning
• Design, develop, and deploy machine learning models and AI-powered applications for financial use cases
• Build and optimize deep learning, NLP, and generative AI solutions
• Develop data pipelines and feature engineering frameworks for model training and inference
• Implement MLOps best practices including model versioning, monitoring, and continuous deployment
• Stay current with state-of-the-art AI research and evaluate applicability to financial domains
Financial Engineering
• Develop quantitative models for pricing, risk management, and portfolio optimization
• Implement algorithmic trading strategies and backtesting frameworks
• Build financial simulation engines (Monte Carlo, stochastic modeling, etc.)
• Design and develop derivatives pricing models and fixed-income analytics
• Create real-time market data processing and analytics systems
Software Development
• Write production-quality, scalable, and maintainable code
• Architect and build high-performance distributed systems
• Develop RESTful APIs and microservices for financial applications
• Implement robust testing, CI/CD pipelines, and documentation practices
• Collaborate with cross-functional teams including traders, quants, risk managers, and data engineers
Required Qualifications
• Education: Master’s or PhD in Computer Science, Financial Engineering, Quantitative Finance, Mathematics, Physics, or a related quantitative field
• Experience: 7+ years of professional software development experience, with at least 3 years in AI/ML and 2+ years in financial services or fintech
• Programming Languages: Expert proficiency in Python; strong skills in C++, Java, or Scala
• AI/ML Expertise: Hands-on experience with TensorFlow, PyTorch, scikit-learn, and large language models (LLMs)
• Financial Knowledge: Strong understanding of financial instruments (equities, fixed income, derivatives, structured products), market microstructure, and quantitative risk measures (VaR, Greeks, CVA)
• Mathematics: Advanced knowledge of stochastic calculus, linear algebra, probability theory, and numerical methods
• Data & Infrastructure: Experience with SQL/NoSQL databases, cloud platforms (AWS, Azure, or GCP), and big data technologies (Spark, Kafka)
Preferred Qualifications
• CFA, FRM, or equivalent financial certification
• Experience with reinforcement learning applied to trading or portfolio management
• Knowledge of blockchain/DeFi protocols and smart contract development
• Familiarity with regulatory frameworks (Basel III/IV, MiFID II, Dodd-Frank)
• Publications in AI/ML or quantitative finance journals
• Experience with real-time streaming systems and low-latency architectures
• Proficiency with LLM fine-tuning, RAG architectures, and AI agents for financial applications
Technical Stack (Preferred Experience)
Category Technologies
Languages Python, C++, Java, SQL, R
AI/ML PyTorch, TensorFlow, Hugging Face, LangChain, scikit-learn
Finance Libraries QuantLib, Zipline, Backtrader, pandas, NumPy
Cloud & Infra AWS/Azure/GCP, Docker, Kubernetes, Terraform
Data Spark, Kafka, Airflow, PostgreSQL, MongoDB, Redis
DevOps Git, CI/CD, MLflow, Weights & Biases