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Literary Translator Jobs (NOW HIRING)

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Literary Translator information

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$27.5K

$57.2K

$87.5K

How much do literary translator jobs pay per year?

As of Jun 9, 2026, the average yearly pay for literary translator in the United States is $57,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What are literary translators?

Literary translators are professionals who translate written works of literature—such as novels, poems, plays, and short stories—from one language to another. Their goal is to preserve not just the meaning, but also the style, tone, and cultural nuances of the original text. This requires a deep understanding of both the source and target languages, as well as literary techniques. Literary translators often work closely with authors, publishers, or editors to ensure the translated work resonates with new audiences while staying true to the original. Their work is essential for making literature accessible across cultures and languages.

What is the difference between Literary Translator vs Technical Translator?

AspectLiterary TranslatorTechnical Translator
Required CredentialsLanguage proficiency, translation certifications, literary knowledgeLanguage proficiency, technical certifications, subject matter expertise
Work EnvironmentPublishing houses, freelance, literary agenciesEngineering firms, technical manuals, corporate settings
Industry UsageLiterature, publishing, artsEngineering, IT, healthcare, manufacturing
Common Search/ComparisonLiterary Translator vs Technical Translator

Literary translators focus on translating books, poetry, and creative works, emphasizing style and nuance. Technical translators specialize in translating manuals, technical documents, and scientific texts, requiring subject matter expertise. Both roles demand strong language skills and certifications but serve different industries and purposes.

What are the key skills and qualifications needed to thrive as a Literary Translator, and why are they important?

To thrive as a Literary Translator, you need advanced proficiency in both the source and target languages, along with a deep understanding of literary and cultural contexts. Familiarity with translation software (such as SDL Trados or MemoQ) and, in some cases, professional certification can be beneficial. Exceptional attention to detail, creativity, and strong communication skills help convey the tone, style, and nuances of the original text. These abilities are crucial for accurately and artfully rendering literary works so they resonate with new audiences.

What are some common challenges faced by literary translators, and how can they be addressed in daily work?

Literary translators often encounter challenges such as capturing the author's unique voice, conveying cultural nuances, and preserving the stylistic elements of the original text. Balancing fidelity to the source material with readability in the target language can be demanding. To address these, translators typically collaborate closely with editors, conduct thorough research on cultural references, and engage in multiple rounds of revision. Regular feedback from peers and participating in translator communities can also help refine translations and resolve ambiguities.
More about Literary Translator jobs
Infographic showing various Literary Translator job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $57,200 per year, or $27.5 per hour.

Translational Post Doctoral Researcher - Agentic AI for Neurodegeneration

Johnson & Johnson Innovative Medicine

Titusville, NJ • On-site

$115K/yr

Full-time

Posted 24 days ago


Job description

Job Summary:
Johnson & Johnson Innovative Medicine is a leader in healthcare innovation, focused on developing smarter and less invasive treatments. They are seeking a Translational Post Doctoral Researcher to integrate multi-modal neuroscience data with agentic AI for neurodegeneration research, aiming to create evaluation frameworks for AI systems in drug discovery.
Responsibilities:
• Characterize and integrate biomedical data modalities — digital pathology (whole slide images), neuroimaging (PET, structural and functional MRI), omics (genomics, transcriptomics, proteomics, metabolomics), and longitudinal clinical data to develop specialized, domain-specific models for neurodegeneration
• Build and refine data engineering pipelines that harmonize heterogeneous modalities — reconciling differences in spatial resolution, temporal scale, and dimensionality — into unified analytical frameworks
• Identify where cross-modal integration produces genuine insight versus where it introduces noise or artifact, establishing ground truth for downstream AI evaluation
• Critically assess AI-driven literature synthesis and automated “third reviewer” capabilities for detecting methodological weaknesses, logical gaps, and unsupported claims across data modalities
• Establish standards for how agentic systems incorporate overlooked or contradictory evidence such as negative findings, failed clinical trials, etc. and evaluate whether these integrations generate genuinely novel hypotheses
• Design evaluation frameworks for agentic AI systems operating across neuroscience data modalities — assessing whether models can reason credibly across imaging, omics, and clinical evidence
• Develop benchmarks using synthetic and real-world multi-modal datasets that probe AI co-scientist capabilities under realistic research conditions, testing for robustness, reproducibility, and alignment with expert-level biomedical reasoning
• Serve as a neurodegeneration domain expert within the AI/ML team, ensuring that model outputs remain anchored to clinically relevant disease questions
• Translate evaluation findings into actionable guidance for AI system development, bridging computational and experimental perspectives
• Publish evaluation methodologies and findings in leading journals and conferences (e.g., AD/PD, AAIC, NeurIPS)
• Articulate emerging AI/ML approaches — causal reasoning, intent classification, agentic planning — to diverse audiences with clear framing of practical applications in drug discovery
• Co-author manuscripts, concept papers, and translational strategy documents
Qualifications:
Required:
• PhD (or MD/PhD) in neuroscience, neurobiology, computational neuroscience, biomedical informatics, or a closely related field. (Degree must have been completed within the last 3 years, or will be completed in the next 6 months.)
• Deep knowledge of neurodegenerative disease biology (Alzheimer’s, Parkinson’s, etc.) including disease mechanisms, experimental models, and translational challenges
• Hands-on experience working with at least two of the following data modalities in a research context: neuroimaging (PET, MRI), digital pathology, omics, longitudinal clinical data
• Familiarity with large language model architectures and agentic AI frameworks (e.g., LangGraph, DSPy, or equivalent orchestration tools)
• Proficiency in Python and common ML/data engineering frameworks
• Excellent scientific communication skills and comfort working across computational, translational, and experimental teams
• Self-directed, with the ability to work both independently and within a diverse, multi-disciplinary team
Preferred:
• Experience building data pipelines that integrate heterogeneous biomedical data types
• Familiarity with evaluation or benchmarking methodologies for AI/ML systems
• Experience with NLP techniques: named entity recognition, natural language inference, knowledge graph construction
• Knowledge of graph data structures, graph analytics, and graph platforms (Neo4j, Neptune)
• Familiarity with cloud infrastructure (AWS and/or Azure) for scalable pipelines
Company:
Johnson and Johnson Innovative Medicine focuses on developing medical solutions for some of the challenging diseases and medical conditions. Founded in , the company is headquartered in Raritan, USA, with a team of 10001+ employees. The company is currently Late Stage.