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ai qa engineer

Siemens

<div>
 Siemens Digital Industries Software is a global leader in Electronic Design Automation (EDA) software, hardware, and design solutions. We partner with the world&rsquo;s leading producers of semiconductor microelectronic circuits and systems, enabling them to design and produce cutting-edge electronic products faster and more efficiently.
 
 
 We&rsquo;re excited to share that the
 
 Siemens EDA Central AI QA team
 
 is growing! This team develops core AI technologies that power the entire Siemens EDA product portfolio.
 
 
 We are hiring
 
 4 talented AI QA Engineers
 
 to join our EDA AI QA team in
 
 Cairo, Egypt
 
 . In this role, you&rsquo;ll be at the forefront of testing cutting-edge AI solutions for electronic design automation applications &mdash; including GenAI chatbots and more. You&rsquo;ll also collaborate closely with cross-functional teams across Siemens to help integrate these AI capabilities into EDA products.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and execute comprehensive test plans and cases to validate AI application functionality.
 </li>
 <li>
 Create innovative test scenarios that reflect real customer use cases, identifying issues and recommending improvements.
 </li>
 <li>
 Perform both manual and automated testing of conversational flows, APIs, integrations, and overall system performance.
 </li>
 <li>
 Identify, analyze, troubleshoot, and clearly report issues.
 </li>
 <li>
 Stay current with industry trends and best practices in AI and conversational platform testing.
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 B.Sc./M.Sc. in Software or Electronics Engineering with 0&ndash;3 years of experience.
 </li>
 <li>
 Good understanding of AI, ML, and LLM basics.
 </li>
 <li>
 Familiar with API testing.
 </li>
 <li>
 Comfortable using scripting languages like Python, JavaScript, or Java.
 </li>
 <li>
 Experience with tools such as Selenium or Postman is a plus.
 </li>
 <li>
 Any exposure to NLP (intent recognition, entity extraction, conversational flows) is a plus!
 </li>
 <li>
 Basic knowledge of QA methods and development tools (version control, issue tracking, test coverage).
 </li>
 <li>
 Strong problem-solving and attention to detail, able to work independently while communicating clearly with the team, and fluent in English (written and spoken).
 
 
 </li>
 </ul>
 We&rsquo;re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.
</div>

AI QA Engineer

Innodata Inc.

<div>
 
 Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
 
 
 By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
 
 
 
 
 
 
 
 
 Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany
 
 
 
 
 
 
 Job Titl
 
 e: AI Trainer
 
 
 
 Role Typ
 
 e: Freelance
 
 
 
 Work Mod
 
 e: Remote
 
 
 
 Payment Structur
 
 e: Hourly-based (paid upon successful task completion on monthly basi
 
 
 
 Project Duratio
 
 n: Short term project
 
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 
 We are seeking a detail-oriented and analyt
 
 ical AI Tr
 
 ainer to support the development, training, and improvement of artificial intelligence models. The role involves creating, reviewing, and evaluating data such as text, questions &amp; answers, prompts, and model outputs to ensure accuracy, relevance, and quality aligned with project guidelines.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Create, curate, and annotate high-quality training data for AI/LLM models
 </li>
 <li>
 Develop and va
 
 lidate questions, answers, prompts, and expla
 
 nations based on defined guidelines
 </li>
 <li>
 Review and evaluate AI-generated outputs for accuracy, logic, relevance, and compliance
 </li>
 <li>
 Identify errors, biases, or inconsistencies in model responses and provide corrective feedback
 </li>
 <li>
 Follow project-specific quality standards, formatting rules, and timelines
 </li>
 <li>
 Perform quality checks and revisions based on QA/client feedback
 </li>
 <li>
 Maintain confidentiality and data security throughout the project lifecycle
 </li>
 <li>
 Collaborate with QA teams, reviewers, and project managers as required
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in a relevant field (Education, Engineering, Science, Humanities, or related domains)
 </li>
 <li>
 Strong written communication skills in EnglishExcellent analytical, logical reasoning, and problem-solving abilities.
 </li>
 <li>
 Ability to follow detailed instructions and structured formatsBasic understanding of AI, machine learning, or large language models (preferred, not
 
 
 mandatory)
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 Experience in data annotation, content creation, QA, or training roles
 </li>
 <li>
 Familiarity with AI tools, annotation platforms, or content management systems
 </li>
 <li>
 Subject-matter expertise in one or more domains (e.g., Math, Science, Coding, Language, Finance, etc.)
 </li>
 </ul>
 
 
 
 
 Also you need to go through two assessments,so kindly apply only if you will be available for the assessment and ready to collaborate for the project.
 
</div>

AI Trainer - Arabic

Localization Academy

<div>
 In this hourly-paid, fully remote contractor role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. You will apply senior-level Arabic localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world&rsquo;s largest AI companies and foundation-model labs. Your work directly helps improve the world&rsquo;s premier AI models.
 
 
 Your Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
 </li>
 <li>
 Native or near-native Arabic proficiency and strong command of the locale conventions for India.
 </li>
 <li>
 Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
 </li>
 <li>
 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
 </li>
 <li>
 Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
 </li>
 <li>
 Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
 </li>
 <li>
 Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
 </li>
 <li>
 Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
 </li>
 <li>
 Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
 </li>
 <li>
 Previous experience with AI data training / annotation / evaluation is preferred.
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model&rsquo;s accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 </li>
 </ul>
</div>

Arabic Data Annotator

Interact Technology Solutions

<div>
 <ul>
 <li>
 Job Summary:
 
 
 </li>
 </ul>
 The AI Engineer will be responsible for building practical and scalable GenAI applications&mdash;including chatbots, RAG systems, and AI agents&mdash;supported by reliable data pipelines and rigorous evaluation frameworks. The role focuses on delivering high-quality, production-ready AI solutions that meet enterprise needs.
 
 
 <ul>
 <li>
 Accountability &amp; Responsibilities:
 </li>
 <li>
 Develop end-to-end GenAI applications, including chatbots, RAG systems, and autonomous agents.
 </li>
 <li>
 Build and maintain data pipelines, embeddings, and vector search infrastructure.
 </li>
 <li>
 Conduct prompt engineering, testing, and evaluation to improve model performance.
 </li>
 <li>
 Implement and integrate REST/GraphQL APIs for backend and frontend interfaces.
 </li>
 <li>
 Create rapid prototypes and proof-of-concept (POC) applications for internal and client use.
 </li>
 <li>
 Ensure clean, maintainable code and deliver comprehensive documentation.
 </li>
 <li>
 Collaborate with data teams, product teams, and senior AI architects to refine solutions.
 </li>
 <li>
 Monitor system performance, troubleshoot issues, and apply continuous improvements.
 </li>
 <li>
 Follow governance, security, and compliance requirements for AI deployments.
 </li>
 <li>
 Requirements
 
 
 </li>
 </ul>
 
 1 &ndash; Required Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 3&ndash;6 years of experience in AI software engineering, ML engineering, or data engineering.
 </li>
 <li>
 Delivered at least two AI applications into production.
 
 
 </li>
 </ul>
 
 2 &ndash; Technical Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python, LangChain, LlamaIndex, and vector databases (Qdrant, Milvus).
 </li>
 <li>
 Hands-on experience with embeddings, similarity search, and RAG pipelines.
 </li>
 <li>
 Strong foundations in prompt engineering and model evaluation.
 </li>
 <li>
 Ability to design and integrate REST/GraphQL APIs.
 </li>
 <li>
 Basic front-end development experience for POCs (React, HTML/CSS, or similar).
 </li>
 <li>
 Familiar with Git/GitHub, Docker, Jupyter/VS Code, and Postman.
 
 
 </li>
 </ul>
 
 3 &ndash; Certifications
 
 
 
 <ul>
 <li>
 NVIDIA AI Developer (Preferred)
 </li>
 <li>
 Cloud AI Architect &ndash; Azure / AWS / GCP (Plus)
 </li>
 </ul>
</div>

Senior AI Engineer

SME Careers

<div>
 As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, directly helping to improve the world&rsquo;s premier AI models.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 
 </li>
 </ul>
 
 Your Profile
 
 
 <ul>
 <li>
 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
 </li>
 <li>
 Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
 </li>
 <li>
 Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
 </li>
 <li>
 Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
 </li>
 <li>
 Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
 </li>
 <li>
 Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
 </li>
 <li>
 Minimum Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
 </li>
 <li>
 Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
 </li>
 <li>
 Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
 </li>
 <li>
 Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.
 </li>
 </ul>
</div>

R Engineer

Lucidya | لوسيديا

<div>
 
 About Lucidya
 
 
 
 Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.
 
 
 We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.
 
 
 
 Role Overview
 
 
 
 As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.
 
 
 This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.
 
 
 You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value
 
 
 What You'll Do
 
 
 
 AI &amp; Agent Development
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI Agents
 </li>
 <li>
 Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
 </li>
 <li>
 Research and optimise the way we do things
 </li>
 <li>
 Contribute to the development of the Lucidya AI Agent platform
 
 
 </li>
 </ul>
 
 Production &amp; Scalability
 
 
 
 <ul>
 <li>
 Deploy AI models into production environments with a focus on scalability, performance, and reliability
 </li>
 <li>
 Collaborate on MLOps practices to support continuous integration, monitoring, and improvement
 </li>
 <li>
 Ensure AI systems integrate smoothly with existing platforms and workflows
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with software engineers, product managers, and domain experts
 </li>
 <li>
 Translate business problems into effective AI solutions with measurable outcomes
 </li>
 <li>
 Contribute to solution design for enterprise solutions and long-term deployments
 
 
 </li>
 </ul>
 
 Governance &amp; Quality
 
 
 
 <ul>
 <li>
 Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations
 </li>
 <li>
 Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders
 </li>
 <li>
 Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n
 </li>
 <li>
 Strong programming skills in Python (Java is a plus)
 </li>
 <li>
 Hands-on experience with machine learning and deep learning techniques
 </li>
 <li>
 Practical experience using TensorFlow, OpenAISDK or similar frameworks
 </li>
 <li>
 Experience deploying AI models into production or production-like environments
 </li>
 <li>
 Strong understanding of AI evals and guardrails
 
 
 </li>
 </ul>
 
 Problem-Solving &amp; Mindset
 
 
 
 <ul>
 <li>
 Ability to analyze complex problems and design innovative AI-driven solutions
 </li>
 <li>
 Strong systems thinking, understanding how models behave in real-world environments
 </li>
 <li>
 Curiosity and commitment to continuous learning in a fast-evolving AI landscape
 </li>
 <li>
 Proactivity is key - not just a task doer
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Comfortable working in cross-functional, product-driven teams
 </li>
 <li>
 Able to clearly document and explain technical concepts to diverse stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NLP, conversational AI, or agent-based systems
 </li>
 <li>
 Exposure to enterprise AI deployments or SaaS platforms
 </li>
 <li>
 Familiarity with MLOps, monitoring, and model lifecycle management
 </li>
 <li>
 Experience working with multilingual or Arabic language data
 
 
 </li>
 </ul>
 
 Why Join Lucidya's AI Agents Team?
 
 
 
 <ul>
 <li>
 Work on real, enterprise-grade AI agents, not just experiments
 </li>
 <li>
 Shape a new business unit from the ground up
 </li>
 <li>
 Solve meaningful CX and operational challenges across the MENA region
 </li>
 <li>
 Collaborate with a highly skilled AI, data, and product team
 </li>
 <li>
 Build AI that is responsible, scalable, and impactful
 </li>
 </ul>
</div>

AI Engineer (mid-level/senior)

Darkroom

<div>
 
 About Darkroom
 
 
 
 Darkroom is a technology-driven growth marketing firm focused on growth-stage consumer companies. We were founded in 2017 out of a conviction that the iconic ad agencies of tomorrow would look very different. Darkroom is a human services firm built on a universal AI commerce layer called Matter. Our model deploys a unique blend of senior, human resources enriched by an agentic technology stack that enhances output, efficiency, and revenue generation for our clients.
 
 
 Our team has been responsible for billions of dollars in trackable revenue across the various e-commerce marketplace, direct-to-consumer, and social commerce programs under management. Using research aggregated across these engagements, we accelerate results for our portfolio by developing high-impact digital strategies that unlock gateways to revenue growth, transform marketing operations, and prioritize profitability.
 
 
 What started as a boutique design agency evolved into one of the fastest-growing private companies in America (Inc. 5000), one of the most successful results-driven performance media agencies of the 2020s (Varos), and esteemed recognition by Forbes 30 Under 30 for our founders&rsquo; contribution in Marketing &amp; Advertising (Forbes).
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring a
 
 Financial Data Analyst
 
 to own the financial engine behind our internal planning system (&ldquo;Flight Plan&rdquo;) and our client economics at scale. This role sits at the center of FP&amp;A, data engineering, and media performance&mdash;building and maintaining the systems, logic, and reporting that turn spend into forecasts, and forecasts into decisions.You will manage client P&amp;Ls, revenue projections, and capacity planning across a growing portfolio. This is
 
 not a reporting role
 
 . You will design and maintain the financial and analytical infrastructure leadership and client teams rely on to allocate budget, price work, and scale accounts profitably.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Own Flight Plan Operations at Scale
 
 
 
 <ul>
 <li>
 Run, maintain, and continuously improve Flight Plan workflows across clients (inputs, assumptions, validation, outputs).
 </li>
 <li>
 Build guardrails to ensure plans are accurate, consistent, and resilient as volume and complexity grow.
 
 
 </li>
 </ul>
 
 Build and Maintain Client P&amp;Ls
 
 
 
 <ul>
 <li>
 Own client-level P&amp;Ls including revenue, COGS, delivery costs, gross margin, and contribution.
 </li>
 <li>
 Create standardized views that roll up by client, segment, pod, channel, or product line.
 
 
 </li>
 </ul>
 
 Forecast Revenue and Profitability
 
 
 
 <ul>
 <li>
 Develop revenue and margin forecasts tied to media plans, pacing, retention, fees, and performance assumptions.
 </li>
 <li>
 Own forecast accuracy by tracking error, diagnosing drivers, and iterating the underlying logic.
 
 
 </li>
 </ul>
 
 Engineer the Underlying Data Foundation
 
 
 
 <ul>
 <li>
 Write production-quality SQL to model data cleanly, including transformations, definitions, and QA checks.Use Python to automate workflows, validate inputs, and generate repeatable outputs.Build scalable Google Sheets systems that are front-end friendly without being fragile.
 </li>
 <li>
 Leverage Claude Code and AI-assisted development tools to accelerate model development, automation, testing, and documentation while maintaining high standards of accuracy and auditability.
 
 
 </li>
 </ul>
 
 Translate Marketing and Media into Financial Truth
 
 
 
 <ul>
 <li>
 Connect performance metrics (spend, CAC, MER, ROAS, contribution margin, LTV assumptions) to client economics.
 </li>
 <li>
 Help teams understand what&rsquo;s happening, why it&rsquo;s happening, and what actions to take next.
 
 
 </li>
 </ul>
 
 Create Executive-Ready Decision Tooling
 
 
 
 <ul>
 <li>
 Ship dashboards, scenario models, and summaries leadership can use immediately.
 </li>
 <li>
 Establish and maintain single-source-of-truth definitions for revenue, margin, and performance metrics.
 
 
 </li>
 </ul>
 You should apply if this sounds like you:
 
 
 <ul>
 <li>
 Fluent in English
 </li>
 <li>
 You operate at a wizard-level in Google Sheets, SQL, and Python&mdash;you build systems people depend on.
 </li>
 <li>
 You have hands-on experience owning P&amp;Ls, forecasting, and building FP&amp;A systems that survive messy real-world data.
 </li>
 <li>
 You understand marketing economics: fees, media spend, pacing, channel mix, and measurement noise.
 </li>
 <li>
 You&rsquo;ve built scalable, production-grade workflows with validation, error handling, documentation, and repeatability.
 </li>
 <li>
 You are proficient with Claude Code or similar AI coding tools and use them effectively to move faster without sacrificing rigor.
 </li>
 <li>
 You are allergic to ambiguity and weak definitions and push for clean inputs and consistent logic.
 </li>
 <li>
 You communicate with precision and can explain complex financial systems to operators and executives.
 </li>
 <li>
 You prefer ownership over supervision and shipping over slide decks.
 
 
 </li>
 </ul>
 
 Working at Darkroom
 
 
 
 Darkroom is not a typical agency. We are looking for A players that want to build something great. There is no room in our organization for mediocrity and candidates that are not at the top of their game do not last. We move fast, think deeply, and expect every team member to bring insight and rigor to everything they touch. We hold a high bar for performance, creativity, and ownership &mdash; but we also support each other relentlessly. No egos, no red tape &mdash; just world-class talent building something remarkable.
 
 
 We believe in
 
 autonomy with accountability
 
 ,
 
 truth over comfort
 
 , and
 
 outcomes over optics
 
 . If you want to build and win alongside some of the smartest people in the business, you&rsquo;ll thrive here.
 
 
 <ul>
 <li>
 Location, location, (or no) location: Remote-first culture with a strong community base. While many roles remain fully remote, employees hired to work from our New York or Lisbon HQs (opening early 2026) are expected to adopt a hybrid working model, including weekly in-office appearances. Hub locations also include the Bay Area, Philly, S&atilde;o Paulo, and Barcelona.
 </li>
 <li>
 Parental Leave: flexible parental leave benefits to support new parents during this important transition, ensuring time to bond with their families while maintaining work-life balance.
 </li>
 <li>
 Endless opportunities for growth: Our agency is founded on an interdisciplinary approach, giving Darkroomers insights into services far beyond your job description. Grow your skills and interests beyond your niche and stay at the forefront of the industry through total immersion in cross-functional collaboration.
 
 
 </li>
 </ul>
 
 Equal Opportunity Statement
 
 
 
 Darkroom is an equal opportunity workplace&mdash;we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements
 
 
</div>

Financial Data Analyst (Flight Plan, FP&A, Marketing Analytics)

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