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Independent Contractor Anomaly Detection Jobs (NOW HIRING)

Tulk LLC

Data Scientist Senior

Fort Belvoir, VA · On-site

$140K - $173K/yr

... anomaly detection, and mission-focused decision support. This role is ideal for a cleared senior data professional who can work independently with stakeholders, translate complex data into actionable ...

Valtech

Senior Google Cloud Data Engineer

New York, NY · Hybrid

$170K - $240K/yr

Drive projects independently, ensuring timely delivery and high-quality outcomes. * Lead and execute projects related to cybersecurity, including anomaly detection in data to identify potential ...

Hopper

Implement automated reconciliation and anomaly detection systems to proactively surface financial ... Strong fluency working independently with SQL and large-scale transactional datasets

Mercor

Computer Vision MLE - Senior

New York, NY · Remote

$135/hr

Work independently and asynchronously to meet deadlines and improve AI model performance ... Experience with authentication, counterfeit, or anomaly detection. * Exposure to private equity ...

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How much do independent contractor anomaly detection jobs pay per week?

As of Jul 20, 2026, the average weekly pay for independent contractor anomaly detection in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 per week, depending on experience, location, and employer.

What is an Independent Contractor in Anomaly Detection?

An Independent Contractor in Anomaly Detection is a self-employed professional who specializes in identifying unusual patterns or outliers in data that may indicate errors, fraud, or significant changes. Unlike full-time employees, independent contractors work on a project or contract basis for various clients, offering expertise in data analysis, machine learning, or statistical modeling. Their roles often include designing algorithms, analyzing datasets, and reporting findings to help organizations improve their systems and processes. They typically have strong backgrounds in data science, analytics, or related technical fields.

How does an Independent Contractor specializing in Anomaly Detection typically collaborate with client teams, and what communication challenges might arise?

As an Independent Contractor focused on anomaly detection, you'll often work closely with client data science, IT, or operations teams to understand their data environments and objectives. Effective communication is key, as you'll need to clarify requirements, explain complex algorithms, and present findings to both technical and non-technical stakeholders. A common challenge is bridging the gap between your specialized expertise and the client's domain knowledge, ensuring your solutions are actionable and well-integrated. Regular check-ins and clear documentation can help mitigate misunderstandings and foster successful collaboration.

What are the key skills and qualifications needed to thrive as an Independent Contractor specializing in Anomaly Detection, and why are they important?

To excel as an Independent Contractor in Anomaly Detection, you need strong analytical abilities, expertise in statistical analysis, and a background in data science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or R, and experience with anomaly detection algorithms are typically required. Excellent problem-solving, communication, and self-management skills help you effectively interpret results, collaborate with clients, and deliver independent work. These competencies ensure accurate identification of irregularities, effective client communication, and project success in data-driven environments.
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Independent Contractor Anomaly Detection jobs near you
Infographic showing various Independent Contractor Anomaly Detection job openings in the United States as of July 2026, with employment types broken down into 15% Locum Tenens, 82% Full Time, 1% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $56,645 per year, or $27.2 per hour.
Principal Product Manager - AI Travel (100% Remote - USA)

Principal Product Manager - AI Travel (100% Remote - USA)

Hopper

Remote

Full-time

Posted yesterday

Job description

Job Summary:
Hopper is on a mission to become the leading travel platform globally, and they are seeking a Principal Product Manager to build and lead the intelligence and reconciliation backbone of their travel services. This role involves designing and scaling model-driven infrastructure to interpret transactional data and govern revenue integrity, partnering with Data Science and Engineering teams to productionize predictive models and ensure system reliability.
Responsibilities:
• Own the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals.
• Architect and evolve reference pricing systems leveraging predictive modeling, elasticity signals, competitive benchmarking, and real-time anomaly detection.
• Build the supplier intelligence layer, transforming transactional data into automated performance signals, demand insights, and pricing diagnostics.
• Establish and govern the canonical source of truth for revenue, margin, take rate, transactions, and cancellations across systems and partners.
• Design model evaluation, monitoring, and feedback frameworks, including drift detection and continuous improvement mechanisms.
• Implement automated reconciliation and anomaly detection systems to proactively surface financial inconsistencies at scale.
• Drive cross-functional execution across Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure.
Qualifications:
Required:
• 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production. You have built and scaled systems where AI is foundational to product behavior — not an additive feature.
• Hands-on experience writing prompts, designing evaluation harnesses, or prototyping with LLMs/foundation models as part of their PM workflow (not just overseeing others doing it)
• Strong fluency working independently with SQL and large-scale transactional datasets.
• Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management including problem framing, signal design, evaluation metrics (e.g., precision/recall tradeoffs, forecasting accuracy), monitoring frameworks, drift detection, and retraining strategies.
• Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale.
• Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks.
• Deep understanding of marketplace economics, revenue mechanics, and pricing strategy.
• Track record of delivering complex, cross-functional systems with measurable business impact.
• Exceptional communicator able to operate effectively across technical, financial, and commercial stakeholders.
Preferred:
• Prior experience in Data Science, Engineering, or a highly technical role.
• Background in travel commerce, fintech, ads, or other transaction-heavy marketplace environments.
Company:
Hopper is a travel technology platform that operates the Hopper app & website and its B2B division, HTS (Hopper Technology Solutions). Founded in 2007, the company is headquartered in Montréal, CAN, with a team of 201-500 employees. The company is currently Growth Stage.

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