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Remote Ai Tester Jobs in Baton Rouge, LA (NOW HIRING)

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Remote Ai Tester information

See Baton Rouge, LA salary details

$10

$45

$66

How much do remote ai tester jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote ai tester in Baton Rouge, LA is $45.65, according to ZipRecruiter salary data. Most workers in this role earn between $36.01 and $53.80 per hour, depending on experience, location, and employer.

How do I become a remote AI tester?

To become a remote AI tester, you should have a strong understanding of AI and machine learning concepts, along with skills in programming, data analysis, and testing tools. Gaining experience through online courses, certifications, or internships can improve your prospects, and familiarity with platforms like Python, TensorFlow, or similar is often beneficial. Strong communication skills and the ability to work independently are also important for remote roles.

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 is a remote AI tester?

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.
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Remote Ai Tester jobs near you

Senior Digital Advertising Specialist

SASSO

Baton Rouge, LA • Remote

Full-time

Re-posted 24 days ago

Job description

SASSO is seeking a Senior Digital Advertising Specialist to lead and scale high-performance digital advertising programs across a diverse portfolio of clients and industries. This role focuses primarily on Google Ads lead generation, with ownership spanning campaign strategy, execution, optimization, measurement, and conversion improvement.

The ideal candidate is a hands-on digital advertising operator who understands how paid media, analytics, landing page performance, and conversion rate optimization work together to drive qualified leads and measurable business outcomes.

Beyond campaign management, this role will help advance SASSO's AI-enabled media capabilities, leveraging modern advertising platforms, automation tools, and machine-learning insights to improve campaign efficiency, accelerate testing, and uncover deeper performance insights for clients.

Success in this role requires someone who is both analytically rigorous and execution-focused, capable of translating performance data into actionable improvements while continuously exploring new ways to leverage automation, artificial intelligence, and advanced analytics to improve campaign outcomes.


ESSENTIAL DUTIES & RESPONSIBILITIES:


  • Own and manage lead generation-focused Google Ads campaigns, including Search, Display, YouTube, and Performance Max, from initial structure through ongoing optimization.
  • Build campaigns from the ground up including keyword research, account structure, bidding strategies, ad copy, extensions, and landing page alignment.
  • Optimize campaigns against core performance marketing metrics including Customer Acquisition Cost (CAC), Cost per Lead (CPL), Return on Ad Spend (ROAS), Marketing Efficiency Ratio (MER), and conversion rate.
  • Monitor performance trends and apply data-driven optimizations across keywords, audiences, bidding strategies, and creative performance.
  • Use GA4 and advertising platform data to analyze user behavior, conversion paths, and campaign performance.
  • Ensure accurate conversion tracking and attribution, working with internal teams to maintain reliable measurement.
  • Leverage AI-driven capabilities within advertising platforms including smart bidding, predictive audience signals, and automated optimization tools to improve campaign efficiency and insights.
  • Design and execute structured testing frameworks, including A/B and multivariate tests across ads, audiences, bidding strategies, and landing pages.
  • Identify opportunities to improve conversion performance, partnering with design, development, and content teams on landing page improvements, messaging alignment, and testing initiatives.
  • Develop and execute structured testing programs across ads, audiences, and landing pages to continuously improve performance.
  • Manage campaign budgets, pacing, and performance forecasts across multiple accounts.
  • Translate performance data into clear insights and actionable recommendations for internal teams and clients.


REQUIREMENTS:


Education and Experience:

  • Bachelor's degree in Marketing, Communications, Business, Analytics, or a related field (or equivalent professional experience).
  • 5-8 years of hands-on experience managing performance-driven, lead-generation digital campaigns
  • Demonstrated success building, optimizing, and scaling performance marketing campaigns that drive qualified leads or revenue outcomes.
  • Strong working knowledge of GA4, campaign attribution, and digital performance analytics.
  • Experience managing campaigns across multiple Google Ads formats including Search, Display, YouTube, and Performance Max.
  • Practical experience applying conversion rate optimization (CRO) principles to paid traffic and landing pages.

Behavioral Competencies:

  • Performance Mindset: Focused on measurable outcomes such as CAC, ROAS, conversion rates, and lead quality.
  • Analytical & Data Driven: Comfortable analyzing complex datasets and translating insights into strategic improvements.
  • Ownership & Accountability: Takes responsibility for campaign performance and continuously seeks optimization opportunities.
  • AI & Technology Fluency: Demonstrates curiosity and comfort leveraging automation, machine learning tools, and AI-assisted platforms to improve marketing performance.
  • Collaborative Communication: Works effectively across strategy, creative, analytics, and account teams.
  • Adaptability: Thrives in a fast-moving environment where testing, iteration, and continuous learning are expected.

WORK ENVIRONMENT & PHYSICAL DEMANDS

  • This position is headquartered in Baton Rouge, Louisiana, but remote candidates currently based and authorized to work in the United States are encouraged to apply. Candidates should be willing and able to travel to the Baton Rouge office on an occasional basis.
  • We are not able to sponsor visas or consider international candidates as this time.
  • Occasional travel may be required for client meetings, events, or project-related needs.
  • Requires extended periods of computer work and virtual meeting participation.

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